Enkephalin 发表于 2025-3-21 17:29:54
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http://reply.papertrans.cn/25/2424/242362/242362_2.pngGLARE 发表于 2025-3-22 03:49:22
,Epipolar Equation Weighting for Accurate Camera Motion from Two Consecutive Frames,metric fitting problem with depth map values as nuisance parameters, and maximum likelihood estimation does not satisfy the Cramer-Rao lower bound. One of the authors has previously proposed an objective function for this problem. This objective function has degrees of freedom in weighting the epipoaphasia 发表于 2025-3-22 07:01:31
,Absolute-ROMP: Recovering Multi-person 3D Poses and Shapes with Absolute Scales from a Single RGB I. The challenge stems from the inherent depth and scale ambiguity from a single view. The state of the art on 3D human pose and shape estimation mainly focuses on estimating the 3D joint locations relative to the root joint, defined as the pelvis joint. In this paper, a novel approach called Absolut亲爱 发表于 2025-3-22 12:33:59
http://reply.papertrans.cn/25/2424/242362/242362_5.pngdragon 发表于 2025-3-22 15:59:52
,Deep Detection Dreams: Enhancing Visualization Tools for Single Stage Object Detectors,etector networks like YOLO. Such networks work by predicting objects for thousands of fixed image positions in parallel which makes them even more opaque compared to classification CNNs. While there has been much work on feature visualization for classification, this study examines how visualizationdragon 发表于 2025-3-22 18:51:09
http://reply.papertrans.cn/25/2424/242362/242362_7.png有斑点 发表于 2025-3-22 21:13:00
http://reply.papertrans.cn/25/2424/242362/242362_8.pngGROWL 发表于 2025-3-23 01:54:27
http://reply.papertrans.cn/25/2424/242362/242362_9.png讨好美人 发表于 2025-3-23 09:00:03
,Attention to Emotions: Body Emotion Recognition In-the-Wild Using Self-attention Transformer Networecognition (BER) is immense, as it can provide insights into user preferences, automate real-time exchanges and enable machines to respond to human emotions. BER finds applications in customer service, healthcare, entertainment, emotion-aware robots, and other areas. While face expression-based tech