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        CVPR2022論文速遞!共18篇(2022.3.9)

        共 2767字,需瀏覽 6分鐘

         ·

        2022-03-16 08:39

        整理:AI算法與圖像處理,分享請注明出處
        CVPR2022論文和代碼整理:https://github.com/DWCTOD/CVPR2022-Papers-with-Code-Demo
        歡迎關(guān)注:


        A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation

        • 論文/Paper:https://arxiv.org/abs/2203.04287

        • 代碼/Code:

        Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences

        • 論文/Paper:https://arxiv.org/abs/2203.04279

        • 代碼/Code:https://github.com/PruneTruong/DenseMatching

        End-to-End Semi-Supervised Learning for Video Action Detection

        • 論文/Paper:https://arxiv.org/abs/2203.04251

        • 代碼/Code:

        Neural Face Identification in a 2D Wireframe Projection of a Manifold Object

        • 論文/Paper:https://arxiv.org/abs/2203.04229

        • 代碼/Code:https://github.com/manycore-research/faceformer

        • 主頁:https://manycore-research.github.io/faceformer/

        Selective-Supervised Contrastive Learning with Noisy Labels

        • 論文/Paper:https://arxiv.org/abs/2203.04181

        • 代碼/Code:https://github.com/ShikunLi/Sel-CL

        Motron: Multimodal Probabilistic Human Motion Forecasting

        • 論文/Paper:https://arxiv.org/abs/2203.04132

        • 代碼/Code:

        E2EC: An End-to-End Contour-based Method for High-Quality High-Speed Instance Segmentation

        • 論文/Paper:https://arxiv.org/abs/2203.04074

        • 代碼/Code:https://github.com/zhang-tao-whu/e2ec

        Shape-invariant 3D Adversarial Point Clouds

        • 論文/Paper:https://arxiv.org/abs/2203.04041

        • 代碼/Code:https://github.com/shikiw/SI-Adv

        DeltaCNN: End-to-End CNN Inference of Sparse Frame Differences in Videos

        • 論文/Paper:https://arxiv.org/abs/2203.03996

        • 代碼/Code:

        Generative Cooperative Learning for Unsupervised Video Anomaly Detection

        • 論文/Paper:https://arxiv.org/abs/2203.03962

        • 代碼/Code:

        ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation

        • 論文/Paper:https://arxiv.org/abs/2203.03888

        • 代碼/Code:

        Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels

        • 論文/Paper:https://arxiv.org/abs/2203.03884

        • 代碼/Code:

        Weakly Supervised Semantic Segmentation using Out-of-Distribution Data

        • 論文/Paper:https://arxiv.org/abs/2203.03860

        • 代碼/Code:

        Deep Rectangling for Image Stitching: A Learning Baseline

        • 論文/Paper:https://arxiv.org/abs/2203.03831

        • 代碼/Code:https://github.com/nie-lang/DeepRectangling

        Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon

        • 論文/Paper:https://arxiv.org/abs/2203.03818

        • 代碼/Code:

        Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild

        • 論文/Paper:https://arxiv.org/abs/2203.03800

        • 代碼/Code:https://github.com/deeplearning-wisc/stud

        On Generalizing Beyond Domains in Cross-Domain Continual Learning

        • 論文/Paper:https://arxiv.org/abs/2203.03970

        • 代碼/Code:

        Generating 3D Bio-Printable Patches Using Wound Segmentation and Reconstruction to Treat Diabetic Foot Ulcers

        • 論文/Paper:https://arxiv.org/abs/2203.03814

        • 代碼/Code:


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