Weakly Supervised Object Detection
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Benchmarks
PASCAL VOC 2007
PASCAL VOC 2012 test
Watercolor2k
Comic2k
Clipart1k
MS-COCO-2014
Charades
COCO test-dev
HICO-DET
ImageNet
IconArt
PeopleArt
CASPAPaintings
MS-COCO-2017
MSCOCO
Most implemented
Weakly Supervised Deep Detection Networks
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection
Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation
Text-image Alignment for Diffusion-based Perception
Papers
Dual-Thresholded Heatmap-Guided Proposal Clustering and Negative Certainty Supervision with Enhanced Base Network for Weakly Supervised Object Detection
Weakly supervised object detection (WSOD) has attracted significant attention in recent years, as it does not require box-level annotations. State-of-the-art methods generally adopt a multi-module network, which employs …
Weakly Supervised Object DetectionWeakly Supervised Virus Capsid Detection with Image-Level Annotations in Electron Microscopy Images
Current state-of-the-art methods for object detection rely on annotated bounding boxes of large data sets for training. However, obtaining such annotations is expensive and can require up to hundreds of hours of manual l…
Weakly Supervised Object DetectionClass Agnostic Instance-level Descriptor for Visual Instance Search
Despite the great success of the deep features in content-based image retrieval, the visual instance search remains challenging due to the lack of effective instance level feature representation. Supervised or weakly sup…
Content-Based Image RetrievalImage RetrievalInstance SearchObject+3Self-Classification Enhancement and Correction for Weakly Supervised Object Detection
In recent years, weakly supervised object detection (WSOD) has attracted much attention due to its low labeling cost. The success of recent WSOD models is often ascribed to the two-stage multi-class classification (MCC) …
Binary ClassificationClassificationMulti-class ClassificationMultiple Instance Learning+3Enhancing Weakly-Supervised Object Detection on Static Images through (Hallucinated) Motion
While motion has garnered attention in various tasks, its potential as a modality for weakly-supervised object detection (WSOD) in static images remains unexplored. Our study introduces an approach to enhance WSOD method…
Objectobject-detectionObject DetectionRepresentation Learning+1Weakly Supervised Object Detection for Automatic Tooth-marked Tongue Recognition
Tongue diagnosis in Traditional Chinese Medicine (TCM) is a crucial diagnostic method that can reflect an individual's health status. Traditional methods for identifying tooth-marked tongues are subjective and inconsiste…
DiagnosticMultiple Instance Learningobject-detectionObject Detection+1