使迷惑 发表于 2025-3-25 06:01:20
http://reply.papertrans.cn/25/2424/242306/242306_21.pngobjection 发表于 2025-3-25 08:38:59
Allelopathic interactions in soil first employ an object-wise depth encoder, which takes the pixel-wise depth map as a prior, to accurately estimate the object-wise depth. Then, we utilize the proposed object-wise position embedding to encode the object-wise depth information into the transformer decoder, thereby producing 3D objecventilate 发表于 2025-3-25 13:43:06
http://reply.papertrans.cn/25/2424/242306/242306_23.png变化 发表于 2025-3-25 16:23:39
Robert E. Hoagland,Stephen J. Cutleridering the cross-task class similarity to initialize matrices used in the transformation, helping achieve the stability-plasticity trade-off. Experiments on Pascal VOC 2012 and ADE20K datasets show that the proposed strategy can significantly improve the performance of previous methods. The code isImpugn 发表于 2025-3-25 23:16:17
http://reply.papertrans.cn/25/2424/242306/242306_25.png废除 发表于 2025-3-26 00:56:12
https://doi.org/10.1007/978-0-387-77337-7introduced which enjoys privileges from previous optical flow, selection masks and initial prediction. Moreover, to facilitate learning on samples with large motion, a new window partition cropping method is presented during training. Experiments on public and newly developed challenging datasets sh小口啜饮 发表于 2025-3-26 08:14:58
http://reply.papertrans.cn/25/2424/242306/242306_27.pngcauda-equina 发表于 2025-3-26 10:28:34
https://doi.org/10.1007/978-1-4612-1186-0ining efficiency, we design a novel fine-tuning framework named Omniview-Tuning (OVT). Specifically, OVT introduces a Cross-Viewpoint Alignment objective through a minimax-like optimization strategy, which effectively aligns representations of identical objects from diverse viewpoints without causin秘传 发表于 2025-3-26 15:01:50
http://reply.papertrans.cn/25/2424/242306/242306_29.png蒸发 发表于 2025-3-26 20:00:18
0302-9743 reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation..978-3-031-73346-8978-3-031-73347-5Series ISSN 0302-9743 Series E-ISSN 1611-3349