愤慨一下 发表于 2025-3-26 21:45:53
http://reply.papertrans.cn/24/2343/234244/234244_31.png发酵剂 发表于 2025-3-27 04:45:02
http://reply.papertrans.cn/24/2343/234244/234244_32.png缩短 发表于 2025-3-27 08:27:58
http://reply.papertrans.cn/24/2343/234244/234244_33.pnginterrogate 发表于 2025-3-27 10:06:01
http://reply.papertrans.cn/24/2343/234244/234244_34.pngAtmosphere 发表于 2025-3-27 16:58:54
,AiATrack: Attention in Attention for Transformer Visual Tracking, AiATrack, by introducing efficient feature reuse and target-background embeddings to make full use of temporal references. Experiments show that our tracker achieves state-of-the-art performance on six tracking benchmarks while running at a real-time speed. Code and models are publicly available at ..芳香一点 发表于 2025-3-27 18:57:12
http://reply.papertrans.cn/24/2343/234244/234244_36.png傻 发表于 2025-3-27 23:46:59
,Social ODE: Multi-agent Trajectory Forecasting with Neural Ordinary Differential Equations,e show in extensive experiments that our Social ODE approach compares favorably with state-of-the-art, and more importantly, can successfully avoid sudden obstacles and effectively control the motion of the agent, while previous methods often fail in such cases.habitat 发表于 2025-3-28 05:33:58
,Point Cloud Compression with Range Image-Based Entropy Model for Autonomous Driving,rforms better in the autonomous driving scene. Experiments on LiDARs with different lines and in different scenarios show that our proposed compression scheme outperforms the state-of-the-art approaches in reconstruction quality and downstream tasks by a wide margin.一加就喷出 发表于 2025-3-28 09:19:17
http://reply.papertrans.cn/24/2343/234244/234244_39.pngGEAR 发表于 2025-3-28 13:23:49
https://doi.org/10.1007/978-3-031-20047-2Computer Science; Informatics; Conference Proceedings; Research; Applications