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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 1–50 of 142 papers

TitleStatusHype
Class Agnostic Instance-level Descriptor for Visual Instance Search—0
Self-Classification Enhancement and Correction for Weakly Supervised Object Detection—0
Enhancing Weakly-Supervised Object Detection on Static Images through (Hallucinated) Motion—0
Weakly Supervised Object Detection for Automatic Tooth-marked Tongue RecognitionCode0
Disentangling spatio-temporal knowledge for weakly supervised object detection and segmentation in surgical videoCode0
HUWSOD: Holistic Self-training for Unified Weakly Supervised Object DetectionCode0
Smart Feature is What You NeedCode0
Negative Prototypes Guided Contrastive Learning for WSOD—0
Sparse Generation: Making Pseudo Labels Sparse for Point Weakly Supervised Object Detection on Low Data VolumeCode0
WeakSAM: Segment Anything Meets Weakly-supervised Instance-level RecognitionCode2
Weakly Supervised Object Detection in Chest X-Rays with Differentiable ROI Proposal Networks and Soft ROI PoolingCode1
Weakly Supervised Open-Vocabulary Object Detection—0
LEOD: Label-Efficient Object Detection for Event CamerasCode1
Identifying Light-curve Signals with a Deep Learning Based Object Detection Algorithm. II. A General Light Curve Classification FrameworkCode0
A Weakly Supervised Learning Method for Cell Detection and Tracking Using Incomplete Initial AnnotationsCode0
Text-image Alignment for Diffusion-based PerceptionCode1
ALWOD: Active Learning for Weakly-Supervised Object DetectionCode0
Gall Bladder Cancer Detection from US Images with Only Image Level LabelsCode0
Anatomy-Driven Pathology Detection on Chest X-raysCode0
PDL: Regularizing Multiple Instance Learning with Progressive Dropout LayersCode1
Cyclic-Bootstrap Labeling for Weakly Supervised Object DetectionCode1
Read, look and detect: Bounding box annotation from image-caption pairs—0
Extracting Complex Named Entities in Legal Documents via Weakly Supervised Object Detection—0
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
Domain-Adaptive Self-Supervised Pre-Training for Face & Body Detection in DrawingsCode1
Max Pooling with Vision Transformers reconciles class and shape in weakly supervised semantic segmentationCode1
ImaginaryNet: Learning Object Detectors without Real Images and AnnotationsCode1
Object Discovery via Contrastive Learning for Weakly Supervised Object DetectionCode1
W2N:Switching From Weak Supervision to Noisy Supervision for Object DetectionCode1
Active Learning Strategies for Weakly-supervised Object DetectionCode1
Scaling Novel Object Detection with Weakly Supervised Detection TransformersCode1
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
Semi-Weakly Supervised Object Detection by Sampling Pseudo Ground-Truth BoxesCode1
SIOD: Single Instance Annotated Per Category Per Image for Object DetectionCode1
Self-Supervised Transformers for Unsupervised Object Discovery using Normalized CutCode2
H2FA R-CNN: Holistic and Hierarchical Feature Alignment for Cross-Domain Weakly Supervised Object DetectionCode1
Weakly Supervised Rotation-Invariant Aerial Object Detection NetworkCode1
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
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