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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
Self-Supervised Transformers for Unsupervised Object Discovery using Normalized CutCode2
WeakSAM: Segment Anything Meets Weakly-supervised Instance-level RecognitionCode2
Domain-Adaptive Self-Supervised Pre-Training for Face & Body Detection in DrawingsCode1
Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object DetectionCode1
PCL: Proposal Cluster Learning for Weakly Supervised Object DetectionCode1
Boosting Weakly Supervised Object Detection with Progressive Knowledge TransferCode1
Weakly Supervised Object Detection in ArtworksCode1
Object Instance Mining for Weakly Supervised Object DetectionCode1
Comprehensive Attention Self-Distillation for Weakly-Supervised Object DetectionCode1
ImaginaryNet: Learning Object Detectors without Real Images and AnnotationsCode1
Harmonizing Transferability and Discriminability for Adapting Object DetectorsCode1
SIOD: Single Instance Annotated Per Category Per Image for Object DetectionCode1
Multiple Instance Detection Network with Online Instance Classifier RefinementCode1
Max Pooling with Vision Transformers reconciles class and shape in weakly supervised semantic segmentationCode1
LEOD: Label-Efficient Object Detection for Event CamerasCode1
Semi-Weakly Supervised Object Detection by Sampling Pseudo Ground-Truth BoxesCode1
Object Discovery via Contrastive Learning for Weakly Supervised Object DetectionCode1
W2N:Switching From Weak Supervision to Noisy Supervision for Object DetectionCode1
PDL: Regularizing Multiple Instance Learning with Progressive Dropout LayersCode1
Weakly Supervised Rotation-Invariant Aerial Object Detection NetworkCode1
Scaling Novel Object Detection with Weakly Supervised Detection TransformersCode1
Cyclic-Bootstrap Labeling for Weakly Supervised Object DetectionCode1
Weakly Supervised Object Detection in Chest X-Rays with Differentiable ROI Proposal Networks and Soft ROI PoolingCode1
H2FA R-CNN: Holistic and Hierarchical Feature Alignment for Cross-Domain Weakly Supervised Object DetectionCode1
Cross-Domain Weakly-Supervised Object Detection through Progressive Domain AdaptationCode1
Boosting Weakly Supervised Object Detection via Learning Bounding Box AdjustersCode1
Towards Precise End-to-end Weakly Supervised Object Detection NetworkCode1
Text-image Alignment for Diffusion-based PerceptionCode1
UWSOD: Toward Fully-Supervised-Level Capacity Weakly Supervised Object DetectionCode1
Multiple instance learning on deep features for weakly supervised object detection with extreme domain shiftsCode1
Active Learning Strategies for Weakly-supervised Object DetectionCode1
Distilling Knowledge from Refinement in Multiple Instance Detection NetworksCode1
Domain-Adaptive Object Detection via Uncertainty-Aware Distribution AlignmentCode1
Disentangling spatio-temporal knowledge for weakly supervised object detection and segmentation in surgical videoCode0
Anatomy-Driven Pathology Detection on Chest X-raysCode0
CaT: Weakly Supervised Object Detection with Category TransferCode0
Variational Bayesian Multiple Instance Learning With Gaussian ProcessesCode0
Smart Feature is What You NeedCode0
Soft Proposal Networks for Weakly Supervised Object LocalizationCode0
Cyclic Guidance for Weakly Supervised Joint Detection and SegmentationCode0
ALWOD: Active Learning for Weakly-Supervised Object DetectionCode0
SESS: Saliency Enhancing with Scaling and SlidingCode0
Sparse Generation: Making Pseudo Labels Sparse for Point Weakly Supervised Object Detection on Low Data VolumeCode0
VEIL: Vetting Extracted Image Labels from In-the-Wild Captions for Weakly-Supervised Object DetectionCode0
Identifying Light-curve Signals with a Deep Learning Based Object Detection Algorithm. II. A General Light Curve Classification FrameworkCode0
HUWSOD: Holistic Self-training for Unified Weakly Supervised Object DetectionCode0
Self Paced Deep Learning for Weakly Supervised Object DetectionCode0
Gall Bladder Cancer Detection from US Images with Only Image Level LabelsCode0
ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised LocalizationCode0
Leveraging Orientation for Weakly Supervised Object Detection with Application to Firearm LocalizationCode0
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