Pixel-Wise Contrastive Loss 基于上述分析,文章提出了pixel-wise contrastive distillation(PCD),让student在像素级别上向老师学习。蒸馏的loss如下所示: 其中\ell 表示contrastive loss,下文会有更详细的形式。 s_i 和t_i 分别表示student和teacher的feature maps的第i个像素(文章假设了student和teacher的输出feature ...
Inspired by metric learning, we construct the pixel-level pairwise samples and propose a new self-supervised contrastive loss based on them, which makes full use of the class activation maps to reduce the intra-class difference and increase the inter-class difference; we also propose a novel ...
设计额外的loss ,只对\theta_{rpl}进行训练 (经过实验\alpha=0.05) 其中对于inlier的pixel: 其中对于OoD的pixel: 此loss的优势: 1. 没有超参数; 2. Inlier pixel数量 >> OoD pixel数量, 这种loss由于其他的loss比如 hinge loss,对OoD pixel有更好的优化和收敛效果. Context-robust Contrastive Learning(CoroCL...
Our proposed pixelwise consistency training approach. contrastive cycle-consistency loss on the level of pixels. Fi- nally, [56] performs image-to-image translation for UDA in frequency space rather than pixel space using a Fourier transform. Beyond cycle-consis...
First, pixel-wise information may help overcome occlusion based on low-level clues [57, 44, 45]. Moreover, recent transformer architecture demonstrates strong performance in pixel-wise prediction [35, 9, 8]. From another perspective, pixel-wise prediction preserves more low-confident details, ...
Unlike these methods, which lack the abil- ity to generate pixel-wise masks, LISA [14] integrates SAM with LLMs for segmentation tasks. Moreover, LISA ex- plores the use of LMMs for complex instruction reasoning, which differs from traditional tasks that rely on explicit hu- man ...
Alonso I, Sabater A, Ferstl D, Montesano L, Murillo AC (2021) Semi-supervised semantic segmentation with pixel-level contrastive learning from a class-wise memory bank. In: Proceedings of the IEEE/CVF international conference on computer vision, pp 8219–8228 Bardes A, Ponce J, LeCun Y (20...
Pixel-wise Cross-Entropy Loss Pixel-wise Contrastive Learning Objective Citation@inproceedings{Wang_2021_ICCV, author = {Wang, Wenguan and Zhou, Tianfei and Yu, Fisher and Dai, Jifeng and Konukoglu, Ender and Van Gool, Luc}, title = {Exploring Cross-Image Pixel Contrast for Semantic ...
Consequently, Contrastive Layer-wise Relevance Propagation (CLRP) is introduced to enhance the discriminative ability of LRP by subtracting the relevance for non-target classes from the relevance propagation [79]. This boosts the contribution of the target class and suppresses the contribution of other...
Consequently, Contrastive Layer-wise Relevance Propagation (CLRP) is introduced to enhance the discriminative ability of LRP by subtracting the relevance for non-target classes from the relevance propagation [79]. This boosts the contribution of the target class and suppresses the contribution of other...