石墨 发表于 2025-3-23 10:23:10
,Bagging Regional Classification Activation Maps for Weakly Supervised Object Localization,y supervised object localization (WSOL). However, CAM directly uses the classifier trained on image-level features to locate objects, making it prefers to discern global discriminative factors rather than regional object cues. Thus only the discriminative locations are activated when feeding pixel-lNomadic 发表于 2025-3-23 14:04:46
http://reply.papertrans.cn/24/2343/234259/234259_12.pngCRUE 发表于 2025-3-23 19:49:12
http://reply.papertrans.cn/24/2343/234259/234259_13.pngFirefly 发表于 2025-3-24 01:20:04
,GTCaR: Graph Transformer for Camera Re-localization, (SfM) and SLAM. In this paper we propose a neural network approach with a graph Transformer backbone, namely . (.raph .ransformer for .mera .e-localization), to address the multi-view camera re-localization problem. In contrast with prior work where the pose regression is mainly guided by photometr过滤 发表于 2025-3-24 02:31:55
,3D Object Detection with a Self-supervised Lidar Scene Flow Backbone,ource-consuming, and depending only on supervised learning limits the applicability of trained models. Self-supervised training strategies can alleviate these issues by learning a general point cloud backbone model for downstream 3D vision tasks. Against this backdrop, we show the relationship betwe公式 发表于 2025-3-24 09:49:16
http://reply.papertrans.cn/24/2343/234259/234259_16.pngheterogeneous 发表于 2025-3-24 12:04:14
http://reply.papertrans.cn/24/2343/234259/234259_17.png诱拐 发表于 2025-3-24 17:27:52
http://reply.papertrans.cn/24/2343/234259/234259_18.png倔强不能 发表于 2025-3-24 22:01:06
http://reply.papertrans.cn/24/2343/234259/234259_19.png领导权 发表于 2025-3-24 23:55:07
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