Titlebook: Computer Vision – ECCV 2020; 16th European Confer Andrea Vedaldi,Horst Bischof,Jan-Michael Frahm Conference proceedings 2020 Springer Natur

GUMP

Chinese Diplomacy in a Changing Worldxtensive experiments performed on THUMOS14 and ActivityNet datasets demonstrate that our proposed method is effective. Specifically, the average mAP of IoU thresholds from 0.1 to 0.9 on the THUMOS14 dataset is significantly improved from 27.9% to 30.0%.

justify

drusen

Chinese Diplomacy in a Changing World, an effective and simple fusion network is proposed for the late fusion stage. In our model, all networks are jointly trained in an end-to-end fashion. Extensive experiments demonstrate that our approach is effective and stable compared with other state-of-the-art methods (Code is available on: .).

crumble

SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation,ge methods. Compared to the state-of-the-art single-stage TensorMask, SipMask obtains an absolute gain of 1.0% (mask AP), while providing a four-fold speedup. In terms of real-time capabilities, SipMask outperforms YOLACT with an absolute gain of 3.0% (mask AP) under similar settings, while operatin

緊張過度

SemanticAdv: Generating Adversarial Examples via Attribute-Conditioned Image Editing,ability of . on both face recognition and general street-view images to show its generalization. We believe that our work can shed light on further understanding about vulnerabilities of DNNs as well as novel defense approaches. Our implementation is available at ..

lactic

Learning with Noisy Class Labels for Instance Segmentation,d-background sub-task. Extensive experiments conducted with three popular datasets (i.e., Pascal VOC, Cityscapes and COCO) have demonstrated the effectiveness of our method in a wide range of noisy class labels scenarios. Code will be available at: ..

justify

Self-supervised Motion Representation via Scattering Local Motion Cues,he effectiveness of our proposed motion representation method on downstream video understanding tasks, ...., action recognition task. Experimental results show that our method performs favorably against state-of-the-art methods.

按等級

molest

Hard Negative Examples are Hard, but Useful,hard negative examples becomes feasible. This leads to more generalizable features, and image retrieval results that outperform state of the art for datasets with high intra-class variance. Code is available at: .

Cervical-Spine

ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions,unctions, to enable explicit learning of the distribution reshape and shift at near-zero extra cost. Lastly, we adopt a distributional loss to further enforce the binary network to learn similar output distributions as those of a real-valued network. We show that after incorporating all these ideas,