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-l

Nomadic 发表于 2025-3-23 14:04:46

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CRUE 发表于 2025-3-23 19:49:12

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Firefly 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

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heterogeneous 发表于 2025-3-24 12:04:14

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诱拐 发表于 2025-3-24 17:27:52

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倔强不能 发表于 2025-3-24 22:01:06

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领导权 发表于 2025-3-24 23:55:07

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查看完整版本: Titlebook: Computer Vision – ECCV 2022; 17th European Confer Shai Avidan,Gabriel Brostow,Tal Hassner Conference proceedings 2022 The Editor(s) (if app