hector 发表于 2025-3-21 19:28:51
书目名称Computer Vision – ECCV 2024影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0242351<br><br> <br><br>书目名称Computer Vision – ECCV 2024影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0242351<br><br> <br><br>书目名称Computer Vision – ECCV 2024网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0242351<br><br> <br><br>书目名称Computer Vision – ECCV 2024网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0242351<br><br> <br><br>书目名称Computer Vision – ECCV 2024被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0242351<br><br> <br><br>书目名称Computer Vision – ECCV 2024被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0242351<br><br> <br><br>书目名称Computer Vision – ECCV 2024年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0242351<br><br> <br><br>书目名称Computer Vision – ECCV 2024年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0242351<br><br> <br><br>书目名称Computer Vision – ECCV 2024读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0242351<br><br> <br><br>书目名称Computer Vision – ECCV 2024读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0242351<br><br> <br><br>HAVOC 发表于 2025-3-21 20:15:44
http://reply.papertrans.cn/25/2424/242351/242351_2.pngnarcotic 发表于 2025-3-22 02:42:26
,Uncertainty-Driven Spectral Compressive Imaging with Spatial-Frequency Transformer,odel cross-window connections, and expand its receptive fields while maintaining linear complexity. We use SF-block as the main building block in a multi-scale U-shape network to form our Specformer. In addition, we introduce an uncertainty-driven loss function, which can reinforce the network’s att债务 发表于 2025-3-22 07:53:07
,MapTracker: Tracking with Strided Memory Fusion for Consistent Vector HD Mapping, produce consistent ground truth with temporal alignments and 2) Augmenting existing mAP metrics with consistency checks. MapTracker significantly outperforms existing methods on both nuScenes and Agroverse2 datasets by over 8% and 19% on the conventional and the new consistency-aware metrics, respeSpinal-Tap 发表于 2025-3-22 10:42:48
http://reply.papertrans.cn/25/2424/242351/242351_5.pnginsecticide 发表于 2025-3-22 16:49:34
,X-Former: Unifying Contrastive and Reconstruction Learning for MLLMs,n mechanism. Specifically, X-Former first bootstraps vision-language representation learning and multimodal-to-multimodal generative learning from two frozen vision encoders, i.e., CLIP-ViT (CL-based) and MAE-ViT (MIM-based). It further bootstraps vision-to-language generative learning from a frozeninsecticide 发表于 2025-3-22 17:23:31
http://reply.papertrans.cn/25/2424/242351/242351_7.pngarbovirus 发表于 2025-3-22 23:53:38
,Revisiting Supervision for Continual Representation Learning, multi-layer perceptron head, can outperform self-supervised models in continual representation learning. This highlights the importance of the multi-layer perceptron projector in shaping feature transferability across a sequence of tasks in continual learning. The code is available on ..sterilization 发表于 2025-3-23 02:46:17
http://reply.papertrans.cn/25/2424/242351/242351_9.png有斑点 发表于 2025-3-23 09:28:40
http://reply.papertrans.cn/25/2424/242351/242351_10.png