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Found 7 papers, 2 papers with code
Enhancing Visual Continual Learning with Language-Guided Supervision
Existing methods commonly utilize the one-hot labels and randomly initialize the classifier head.
Continual Forgetting for Pre-trained Vision Models
(i) For unwanted knowledge, efficient and effective deleting is crucial.
MVPatch: More Vivid Patch for Adversarial Camouflaged Attacks on Object Detectors in the Physical World
Our method employs a model-perception-based approach that reduces the object confidence scores of several object detectors to boost the transferability of adversarial patches.
Dive Deeper into Rectifying Homography for Stereo Camera Online Self-Calibration
Instead, we introduce four new evaluation metrics to quantify the robustness and accuracy of extrinsic parameter estimation, applicable to both single-pair and multi-pair cases.
Self-Training Guided Disentangled Adaptation for Cross-Domain Remote Sensing Image Semantic Segmentation
We first propose source student backbone and target student backbone to respectively extract the source-style and target-style feature for both source and target images.
PGGANet: Pose Guided Graph Attention Network for Person Re-identification
Person re-identification (reID) aims at retrieving a person from images captured by different cameras.
AdaL: Adaptive Gradient Transformation Contributes to Convergences and Generalizations
Inspired by this, we propose AdaL, with a transformation on the original gradient.
