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Weakly Supervised Object Detection

Weakly Supervised Object Detection (WSOD) is the task of training object detectors with only image tag supervisions.

( Image credit: Soft Proposal Networks for Weakly Supervised Object Localization )

Papers

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Showing 51–100 of 142 papers

TitleStatusHype
Towards Precise Weakly Supervised Object Detection via Interactive Contrastive Learning of Context Information—0
DETR with Additional Global Aggregation for Cross-domain Weakly Supervised Object Detection—0
Transformer-based Multi-Instance Learning for Weakly Supervised Object Detection—0
Boosting Weakly Supervised Object Detection using Fusion and Priors from Hallucinated Depth—0
VEIL: Vetting Extracted Image Labels from In-the-Wild Captions for Weakly-Supervised Object DetectionCode0
D2DF2WOD: Learning Object Proposals for Weakly-Supervised Object Detection via Progressive Domain Adaptation—0
SESS: Saliency Enhancing with Scaling and SlidingCode0
Online progressive instance-balanced sampling for weakly supervised object detection—0
Compositional Mixture Representations for Vision and Text—0
Absolute Wrong Makes Better: Boosting Weakly Supervised Object Detection via Negative Deterministic Information—0
Spatial Likelihood Voting with Self-Knowledge Distillation for Weakly Supervised Object Detection—0
Discovery-and-Selection: Towards Optimal Multiple Instance Learning for Weakly Supervised Object Detection—0
Contrastive Proposal Extension with LSTM Network for Weakly Supervised Object Detection—0
Learning Better Visual Representations for Weakly-Supervised Object Detection Using Natural Language Supervision—0
PGTRNet: Two-phase Weakly Supervised Object Detection with Pseudo Ground Truth Refinement—0
Pseudo-Label Generation-Evaluation Framework For Cross Domain Weakly Supervised Object Detection—0
Multi-patch Feature Pyramid Network for Weakly Supervised Object Detection in Optical Remote Sensing Images—0
CaT: Weakly Supervised Object Detection with Category TransferCode0
Informative and Consistent Correspondence Mining for Cross-Domain Weakly Supervised Object Detection—0
Toward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic Segmentation—0
Salvage of Supervision in Weakly Supervised Object Detection—0
Deep Learning for Weakly-Supervised Object Detection and Object Localization: A Survey—0
Self-supervised object detection from audio-visual correspondence—0
Two-phase weakly supervised object detection with pseudo ground truth mining—0
Few-shot Weakly-Supervised Object Detection via Directional Statistics—0
Learning from Counting: Leveraging Temporal Classification for Weakly Supervised Object Localization and Detection—0
Online Active Proposal Set Generation for Weakly Supervised Object Detection—0
Parallel Detection-and-Segmentation Learning for Weakly Supervised Instance Segmentation—0
Cascade Attentive Dropout for Weakly Supervised Object Detection—0
Towards automatic visual inspection: A weakly supervised learning method for industrial applicable object detection—0
Enabling Deep Residual Networks for Weakly Supervised Object Detection—0
SLV: Spatial Likelihood Voting for Weakly Supervised Object Detection—0
Adaptive Object Detection with Dual Multi-Label Prediction—0
Learning Object Scale With Click Supervision for Object Detection—0
Weakly Supervised Instance Segmentation by Deep Community Learning—0
Training Object Detectors from Few Weakly-Labeled and Many Unlabeled Images—0
WSOD with PSNet and Box Regression—0
Tell Me What They're Holding: Weakly-supervised Object Detection with Transferable Knowledge from Human-object Interaction—0
Adaptively Denoising Proposal Collection forWeakly Supervised Object Localization—0
WSOD2: Learning Bottom-Up and Top-Down Objectness Distillation for Weakly-Supervised Object DetectionCode0
C-MIDN: Coupled Multiple Instance Detection Network With Segmentation Guidance for Weakly Supervised Object Detection—0
Towards Object Detection from Motion—0
WSOD^2: Learning Bottom-up and Top-down Objectness Distillation for Weakly-supervised Object DetectionCode0
WSOD2: Learning Bottom-up and Top-down Objectness Distillation forWeakly-supervised Object Detection—0
Object-Aware Instance Labeling for Weakly Supervised Object Detection—0
Utilizing the Instability in Weakly Supervised Object Detection—0
Weakly Supervised Object Detection with 2D and 3D Regression Neural Networks—0
Cyclic Guidance for Weakly Supervised Joint Detection and SegmentationCode0
You Reap What You Sow: Using Videos to Generate High Precision Object Proposals for Weakly-Supervised Object Detection—0
Leveraging Orientation for Weakly Supervised Object Detection with Application to Firearm LocalizationCode0
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