(Keep Collecting)
(Current included topics: 1) Object Detection, 2) semantic segmentation, 3) instance segmentaion, 4) salient object detection and 5) action localization)
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Weakly supervised object detection with convex clustering, CVPR 2015.
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Weakly Supervised Deep Detection Networks, CVPR 2016. [code]
- Perform simultaneously region selection and classification
- Region score
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Multiple Instance Detection Network with Online Instance Classifier Refinement, CVPR 2017.
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Weakly Supervised Object Localization with Multi-fold Multiple Instance Learning, PAMI 2017.
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W2F: A Weakly-Supervised to Fully-Supervised Framework for Object Detection, CVPR 2018.
- Using generated pseudo ground-truth to train fully-supervised RPN
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Min-Entropy Latent Model for Weakly Supervised Object Detection, CVPR 2018.
- Min-entropy is used as a metric to measure the randomness of object localization during learning, as well as serving as a model to learn object locations.
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Weakly Supervised Region Proposal Network and Object Detection, ECCV 2018.
- Stage 1: Evaluating bjectness score of sliding windows based on low-level features;
- Stage 2: Proposal refinement based on classifier;
- Shared convolutional computations.
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TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection, ECCV 2018.
- Semantic Segmentation Confidence Map.
- Compute objectness scores for the regions inside and outside the box.
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Dissimilarity Coefficient based Weakly Supervised Object Detection, CVPR 2019.
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WSOD2: Learning Bottom-up and Top-down Objectness Distillation for Weakly-supervised Object Detection, arXiv 1909.
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Towards Precise End-to-end Weakly Supervised Object Detection Network, ICCV 2019.
- C-WSL: Count-guided Weakly Supervised Localization, ECCV 2018.
- per-class object count
- count-based region selection algorithm
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Attention Networks for Weakly Supervised Object Localization, BMVC 2016.
- computes an attention score on each candidate region in the image.
- candidate regions are combined together with their attention scores to form a whole-image feature vector. This feature vector is used for classifying the image.
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ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization, ECCV 2016.
- Leverage their surrounding context regions to improve localization.
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Self-produced Guidance for Weakly-supervised Object Localization, ECCV 2018. [code]
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Self-Erasing Network for Integral Object Attention, NeurIPS 2018.
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Attention-based Dropout Layer for Weakly Supervised Object Localization, CVPR 2019(Oral).[code]
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Integral Object Mining via Online Attention Accumulation, ICCV 2019.
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Dual-attention Focused Module for Weakly Supervised Object Localization, arXiv 1909.
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Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation, ECCV 2016.
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Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach, CVPR 2017.
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Exploiting saliency for object segmentation from image level labels, CVPR 2017. [code]
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Two-Phase Learning for Weakly Supervised Object Localization, ICCV 2017.
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Self-Supervised Difference Detection for Weakly-Supervised Semantic Segmentation, ICCV 2019.
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Causal Intervention for Weakly-Supervised Semantic Segmentation, NeurIPS 2020.
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ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation, CVPR 2016.
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On Regularized Losses for Weakly-supervised CNN Segmentation, ECCV 2018.
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Simple Does It: Weakly Supervised Instance and Semantic Segmentation, CVPR 2017. [code]
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Revisiting CycleGAN for semi-supervised segmentation, arXiv 1908.
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Exploiting Temporality for Semi-Supervised Video Segmentation, arXiv 1908.
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Semi-Supervised Semantic Image Segmentation with Self-correcting Networks, CVPR 2020.
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PRM: Weakly Supervised Instance Segmentation using Class Peak Response, CVPR 2018.[code]
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IRN: Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations, CVPR 2019(Oral).[code]
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Object Counting and Instance Segmentation with Image-level Supervision, CVPR 2019.
- Instance level segmentation using peak response and count knowledge
- Only per-class counts in subitizing range are provided
- Baseline: PRM
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Where are the Masks: Instance Segmentation with Image-level Supervision, BMVC 2019.
- Baseline: IRN
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Weakly Supervised Instance Segmentation by Deep Multi-Task Community Learning, arXiv 2001.
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Learning to Detect Salient Objects with Image-level Supervision, CVPR 2017. [code]
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Weakly-supervised Salient Object detection using Image Labels, AAAI 2018.
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Multi-source Weak Supervision for saliencly detection, CVPR 2019. [code]
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Joint learning of saliency detection and weakly supervised semantic segmentation, ICCV 2019.
- Semi-Supervised Video Salient Object Detection Using Pseudo-Labels, ICCV 2019.
- Generating pixel-wsie pseudo-labels from sparsely annotated frames by using spatial and temporal information.
- Weakly-supervised Salient Instance Detection, BMVC 2020 (Oral, Best student paper runner-up).
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Weakly Supervised Energy-Based Learning for Action Segmentation, ICCV 2019 (Oral).
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3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization, arXiv 1908.
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Weakly Supervised Object Localization, by Zongwei Zhou, 2019.
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Towards Weakly Supervised Object Segmentation & Scene Parsing, by Yunchao Wei, Valse Workshop, 2019.
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Weakly Supervised Semantic Segmentation, by Yunchao Wei, Valse Tutorial, 2019.
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Weakly Supervised Object Detection, Localization, and instance segmentation, by Qixiang Ye, 2019.