ele desejou que todas as palavras tivessem 5 letras depoi queee todas assss plvrs tivss NET nnooo final dpnet qqnet tonet asnet plnet tvnet JA nonet conet janet janet janet
September 8, 2024 at 7:32 AM
ele desejou que todas as palavras tivessem 5 letras depoi queee todas assss plvrs tivss NET nnooo final dpnet qqnet tonet asnet plnet tvnet JA nonet conet janet janet janet
MEN1-Related Neuroendocrine Tumors Show c-MET Overexpression. Read more in #JES: bit.ly/4nhOxJO #MET-inhibitors #Gastrinoma #dpNET @endocrinesociety.bsky.social
MEN1-Related Neuroendocrine Tumors Show c-MET Overexpression
AbstractContext. Approximately 50% to 70% of patients with multiple endocrine neoplasia type 1 (MEN1) die of duodenopancreatic neuroendocrine tumors (NETs)
bit.ly
November 6, 2025 at 1:47 PM
MEN1-Related Neuroendocrine Tumors Show c-MET Overexpression. Read more in #JES: bit.ly/4nhOxJO #MET-inhibitors #Gastrinoma #dpNET @endocrinesociety.bsky.social
Grateful to the #DPNet family for electing me President at the 17th AGM. With the Executive Committee, we’ll strengthen member coordination and advance #DRR. I invite members and global partners to work together on #AnticipatoryAction, #EWS4All, and resilient livelihoods.
January 22, 2026 at 3:13 PM
Grateful to the #DPNet family for electing me President at the 17th AGM. With the Executive Committee, we’ll strengthen member coordination and advance #DRR. I invite members and global partners to work together on #AnticipatoryAction, #EWS4All, and resilient livelihoods.
Ruibin Zhang, Lun Pan, Zelong Xia, Jialiang Hou, Fei Gao
DPNet: Efficient Dead-End Prediction and Avoidance for Vision-Based UAV Navigation
https://arxiv.org/abs/2608.16640
DPNet: Efficient Dead-End Prediction and Avoidance for Vision-Based UAV Navigation
https://arxiv.org/abs/2608.16640
August 18, 2026 at 2:12 PM
Ruibin Zhang, Lun Pan, Zelong Xia, Jialiang Hou, Fei Gao
DPNet: Efficient Dead-End Prediction and Avoidance for Vision-Based UAV Navigation
https://arxiv.org/abs/2608.16640
DPNet: Efficient Dead-End Prediction and Avoidance for Vision-Based UAV Navigation
https://arxiv.org/abs/2608.16640
Ruibin Zhang, Lun Pan, Zelong Xia, Jialiang Hou, Fei Gao: DPNet: Efficient Dead-End Prediction and Avoidance for Vision-Based UAV Navigation https://arxiv.org/abs/2608.16640 https://arxiv.org/pdf/2608.16640 https://arxiv.org/html/2608.16640
August 18, 2026 at 6:45 AM
Ruibin Zhang, Lun Pan, Zelong Xia, Jialiang Hou, Fei Gao: DPNet: Efficient Dead-End Prediction and Avoidance for Vision-Based UAV Navigation https://arxiv.org/abs/2608.16640 https://arxiv.org/pdf/2608.16640 https://arxiv.org/html/2608.16640
Wei Zuo, Zeyi Ren, Chengyang Li, Yikun Wang, Mingle Zhao, Shuai Wang, Wei Sui, Fei Gao, Yik-Chung Wu, Chengzhong Xu
DPNet: Doppler LiDAR Motion Planning for Highly-Dynamic Environments
https://arxiv.org/abs/2512.00375
DPNet: Doppler LiDAR Motion Planning for Highly-Dynamic Environments
https://arxiv.org/abs/2512.00375
December 2, 2025 at 10:57 AM
Wei Zuo, Zeyi Ren, Chengyang Li, Yikun Wang, Mingle Zhao, Shuai Wang, Wei Sui, Fei Gao, Yik-Chung Wu, Chengzhong Xu
DPNet: Doppler LiDAR Motion Planning for Highly-Dynamic Environments
https://arxiv.org/abs/2512.00375
DPNet: Doppler LiDAR Motion Planning for Highly-Dynamic Environments
https://arxiv.org/abs/2512.00375
DPNet can save over 35% and 25% GFLOPs, respectively, while maintaining comparable detection performance. The code will be made publicly available. [6/6 of https://arxiv.org/abs/2505.02797v1]
May 6, 2025 at 6:18 AM
DPNet can save over 35% and 25% GFLOPs, respectively, while maintaining comparable detection performance. The code will be made publicly available. [6/6 of https://arxiv.org/abs/2505.02797v1]
compatible with different dfs. A guidance loss supervises the predictor's training. DPNet dynamically allocates computing resources to trade off between detection accuracy and efficiency. Experiments on the TinyCOCO and TinyPerson datasets show that [5/6 of https://arxiv.org/abs/2505.02797v1]
May 6, 2025 at 6:18 AM
compatible with different dfs. A guidance loss supervises the predictor's training. DPNet dynamically allocates computing resources to trade off between detection accuracy and efficiency. Experiments on the TinyCOCO and TinyPerson datasets show that [5/6 of https://arxiv.org/abs/2505.02797v1]
for tiny object detection to mitigate these issues. DPNet employs a flexible down-sampling strategy by introducing a factor (df) to relax the fixed downsampling process of the feature map to an adjustable one. Furthermore, we design a lightweight [3/6 of https://arxiv.org/abs/2505.02797v1]
May 6, 2025 at 6:18 AM
for tiny object detection to mitigate these issues. DPNet employs a flexible down-sampling strategy by introducing a factor (df) to relax the fixed downsampling process of the feature map to an adjustable one. Furthermore, we design a lightweight [3/6 of https://arxiv.org/abs/2505.02797v1]
objects. However, simply enlarging images significantly increases computational costs and the number of negative samples, severely degrading detection performance and limiting its applicability. This paper proposes a Dynamic Pooling Network (DPNet) [2/6 of https://arxiv.org/abs/2505.02797v1]
May 6, 2025 at 6:18 AM
objects. However, simply enlarging images significantly increases computational costs and the number of negative samples, severely degrading detection performance and limiting its applicability. This paper proposes a Dynamic Pooling Network (DPNet) [2/6 of https://arxiv.org/abs/2505.02797v1]
Luqi Gong, Haotian Chen, Yikun Chen, Tianliang Yao, Chao Li, Shuai Zhao, Guangjie Han: DPNet: Dynamic Pooling Network for Tiny Object Detection https://arxiv.org/abs/2505.02797 https://arxiv.org/pdf/2505.02797 https://arxiv.org/html/2505.02797
May 6, 2025 at 6:18 AM
Luqi Gong, Haotian Chen, Yikun Chen, Tianliang Yao, Chao Li, Shuai Zhao, Guangjie Han: DPNet: Dynamic Pooling Network for Tiny Object Detection https://arxiv.org/abs/2505.02797 https://arxiv.org/pdf/2505.02797 https://arxiv.org/html/2505.02797
[2025-05-06] 📚 Updates in #ObjD
(1) <a href="https://researchtrend.ai/papers/2505.02797" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">DPNet: Dynamic Pooling Network for Tiny Object Detection
(2) DPNet: Dynamic Pooling Network for Tiny Object Detection
🔍 More at researchtrend.ai/communities/ObjD
(1) <a href="https://researchtrend.ai/papers/2505.02797" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">DPNet: Dynamic Pooling Network for Tiny Object Detection
(2) DPNet: Dynamic Pooling Network for Tiny Object Detection
🔍 More at researchtrend.ai/communities/ObjD
May 6, 2025 at 4:16 AM
[2025-05-06] 📚 Updates in #ObjD
(1) <a href="https://researchtrend.ai/papers/2505.02797" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">DPNet: Dynamic Pooling Network for Tiny Object Detection
(2) DPNet: Dynamic Pooling Network for Tiny Object Detection
🔍 More at researchtrend.ai/communities/ObjD
(1) <a href="https://researchtrend.ai/papers/2505.02797" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">DPNet: Dynamic Pooling Network for Tiny Object Detection
(2) DPNet: Dynamic Pooling Network for Tiny Object Detection
🔍 More at researchtrend.ai/communities/ObjD
Feed: "STITCHES"
By: STITCHES Newsletter on Saturday, February 7, 2026
By: STITCHES Newsletter on Saturday, February 7, 2026
New Immune Signatures in MEN1-Related Tumors
Identifying immune signatures could refine patient selection and surgical outcomes for those with MEN1-related neuroendocrine tumors.Analyzed 42 MEN1 patients with duodenopancreatic neuroendocrine tumors (DPNETs); 14 had liver metastasis.Identified 1,117 immunoglobulin-bound proteins; 435 antigens enriched in DPNET patients, with 130 higher in those with liver metastasis.Surgeons may consider these findings for better risk stratification and individualized
www.stitches.today
February 8, 2026 at 8:48 AM
Feed: "STITCHES"
By: STITCHES Newsletter on Saturday, February 7, 2026
By: STITCHES Newsletter on Saturday, February 7, 2026
Wei Zuo, Zeyi Ren, Chengyang Li, Yikun Wang, Mingle Zhao, Shuai Wang, Wei Sui, Fei Gao, Yik-Chung Wu, Chengzhong Xu: DPNet: Doppler LiDAR Motion Planning for Highly-Dynamic Environments https://arxiv.org/abs/2512.00375 https://arxiv.org/pdf/2512.00375 https://arxiv.org/html/2512.00375
December 2, 2025 at 6:34 AM
Wei Zuo, Zeyi Ren, Chengyang Li, Yikun Wang, Mingle Zhao, Shuai Wang, Wei Sui, Fei Gao, Yik-Chung Wu, Chengzhong Xu: DPNet: Doppler LiDAR Motion Planning for Highly-Dynamic Environments https://arxiv.org/abs/2512.00375 https://arxiv.org/pdf/2512.00375 https://arxiv.org/html/2512.00375
Luqi Gong, Haotian Chen, Yikun Chen, Tianliang Yao, Chao Li, Shuai Zhao, Guangjie Han
DPNet: Dynamic Pooling Network for Tiny Object Detection
https://arxiv.org/abs/2505.02797
DPNet: Dynamic Pooling Network for Tiny Object Detection
https://arxiv.org/abs/2505.02797
May 6, 2025 at 6:04 AM
Luqi Gong, Haotian Chen, Yikun Chen, Tianliang Yao, Chao Li, Shuai Zhao, Guangjie Han
DPNet: Dynamic Pooling Network for Tiny Object Detection
https://arxiv.org/abs/2505.02797
DPNet: Dynamic Pooling Network for Tiny Object Detection
https://arxiv.org/abs/2505.02797
