SOTAVerified

Object Localization

Object Localization is the task of locating an instance of a particular object category in an image, typically by specifying a tightly cropped bounding box centered on the instance. An object proposal specifies a candidate bounding box, and an object proposal is said to be a correct localization if it sufficiently overlaps a human-labeled “ground-truth” bounding box for the given object. In the literature, the “Object Localization” task is to locate one instance of an object category, whereas “object detection” focuses on locating all instances of a category in a given image.

Source: Fast On-Line Kernel Density Estimation for Active Object Localization

Papers

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Showing 151–200 of 617 papers

TitleStatusHype
Object Pose Estimation Annotation Pipeline for Multi-view Monocular Camera Systems in Industrial Settings—0
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement—0
Unsupervised Object Localization in the Era of Self-Supervised ViTs: A SurveyCode1
DiPS: Discriminative Pseudo-Label Sampling with Self-Supervised Transformers for Weakly Supervised Object LocalizationCode0
CoDA: Collaborative Novel Box Discovery and Cross-modal Alignment for Open-vocabulary 3D Object DetectionCode2
Memory-efficient particle filter recurrent neural network for object localization—0
Learning to Terminate in Object NavigationCode0
Context-Aware Entity Grounding with Open-Vocabulary 3D Scene GraphsCode1
CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-FreeCode1
DeepAdaIn-Net: Deep Adaptive Device-Edge Collaborative Inference for Augmented Reality—0
Background Activation Suppression for Weakly Supervised Object Localization and Semantic SegmentationCode1
SEMPART: Self-supervised Multi-resolution Partitioning of Image Semantics—0
Unsupervised Open-Vocabulary Object Localization in VideosCode1
FDCNet: Feature Drift Compensation Network for Class-Incremental Weakly Supervised Object LocalizationCode1
ALWOD: Active Learning for Weakly-Supervised Object DetectionCode0
Keep It SimPool: Who Said Supervised Transformers Suffer from Attention Deficit?Code1
HiLM-D: Towards High-Resolution Understanding in Multimodal Large Language Models for Autonomous Driving—0
Four Ways to Improve Verbo-visual Fusion for Dense 3D Visual Grounding—0
Unsupervised Object Localization with Representer Point SelectionCode0
BroadCAM: Outcome-agnostic Class Activation Mapping for Small-scale Weakly Supervised ApplicationsCode0
Context-Aware 3D Object Localization from Single Calibrated Images: A Study of BasketballsCode1
Vote2Cap-DETR++: Decoupling Localization and Describing for End-to-End 3D Dense CaptioningCode1
Semantic-Constraint Matching Transformer for Weakly Supervised Object Localization—0
Object-Centric Multiple Object TrackingCode1
Referring Image Segmentation Using Text SupervisionCode1
I3DOD: Towards Incremental 3D Object Detection via Prompting—0
Video OWL-ViT: Temporally-consistent open-world localization in video—0
Towards Grounded Visual Spatial Reasoning in Multi-Modal Vision Language Models—0
Leveraging Next-Active Objects for Context-Aware Anticipation in Egocentric Videos—0
Rethinking the Localization in Weakly Supervised Object Localization—0
Rapid Training Data Creation by Synthesizing Medical Images for Classification and Localization—0
All-pairs Consistency Learning for Weakly Supervised Semantic SegmentationCode0
MCTformer+: Multi-Class Token Transformer for Weakly Supervised Semantic SegmentationCode1
A Memory-Augmented Multi-Task Collaborative Framework for Unsupervised Traffic Accident Detection in Driving Videos—0
Optical Flow boosts Unsupervised Localization and SegmentationCode1
Cascade-DETR: Delving into High-Quality Universal Object DetectionCode1
Generative Prompt Model for Weakly Supervised Object LocalizationCode1
MPDIoU: A Loss for Efficient and Accurate Bounding Box Regression—0
YOLIC: An Efficient Method for Object Localization and Classification on Edge DevicesCode0
Open-Vocabulary Object Detection via Scene Graph Discovery—0
EgoCOL: Egocentric Camera pose estimation for Open-world 3D object Localization @Ego4D challenge 2023Code0
PanoOcc: Unified Occupancy Representation for Camera-based 3D Panoptic SegmentationCode1
3-Dimensional Sonic Phase-invariant Echo LocalizationCode0
A Novel Confidence Induced Class Activation Mapping for MRI Brain Tumor SegmentationCode0
NeurOCS: Neural NOCS Supervision for Monocular 3D Object Localization—0
Counterfactual Co-occurring Learning for Bias Mitigation in Weakly-supervised Object Localization—0
Learning high-level visual representations from a child's perspective without strong inductive biasesCode1
Probing the Role of Positional Information in Vision-Language Models—0
AV-SAM: Segment Anything Model Meets Audio-Visual Localization and Segmentation—0
A Systematic Study on Object Recognition Using Millimeter-wave Radar—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1OSMaNRGSPL32.99—Unverified
2SUSARGSPL27.31—Unverified
3ShanksRGSPL22.85—Unverified
4CVPR22RGSPL22.06—Unverified
5damm1RGSPL15.96—Unverified
61637RGSPL14.03—Unverified
7init. PREVALENTRGSPL13.51—Unverified
8AirbertRGSPL13.28—Unverified
9init. OSCARRGSPL10—Unverified
10SIARGSPL9.2—Unverified
#ModelMetricClaimedVerifiedStatus
1VoxelNetAP89.35—Unverified
2VoxelNetAP89.35—Unverified
3Frustum PointNetsAP88.7—Unverified
4Frustum PointNetsAP81.2—Unverified
5VoxelNetAP77.47—Unverified
#ModelMetricClaimedVerifiedStatus
1Frustrum-PointPillarsAP48.3—Unverified
2Frustum PointNetsAP47.2—Unverified
3Frustum PointNetsAP40.23—Unverified
4VoxelNetAP38.11—Unverified
5VoxelNetAP31.51—Unverified
#ModelMetricClaimedVerifiedStatus
1Frustrum-PointPillarsAP52.23—Unverified
2Frustum PointNetsAP50.22—Unverified
3Frustum PointNetsAP42.15—Unverified
4VoxelNetAP40.74—Unverified
5VoxelNetAP33.69—Unverified
#ModelMetricClaimedVerifiedStatus
1VoxelNetAP77.39—Unverified
2Frustum PointNetsAP75.33—Unverified
3Frustum PointNetsAP62.19—Unverified
4VoxelNetAP57.73—Unverified
#ModelMetricClaimedVerifiedStatus
1Frustum PointNetsAP75.38—Unverified
2Frustum PointNetsAP71.96—Unverified
3VoxelNetAP66.7—Unverified
4VoxelNetAP61.22—Unverified
#ModelMetricClaimedVerifiedStatus
1Frustum PointNetsAP61.96—Unverified
2Frustum PointNetsAP56.77—Unverified
3VoxelNetAP54.76—Unverified
4VoxelNetAP48.36—Unverified
#ModelMetricClaimedVerifiedStatus
1Frustum PointNetsAP58.09—Unverified
2Frustum PointNetsAP51.21—Unverified
3VoxelNetAP46.13—Unverified
4VoxelNetAP39.48—Unverified
#ModelMetricClaimedVerifiedStatus
1Unified-IOXLLocalization (ablation)67—Unverified
2GPV-2Localization (ablation)53.6—Unverified
3Mask R-CNNLocalization (ablation)44.7—Unverified
#ModelMetricClaimedVerifiedStatus
1Frustum PointNetsAP54.68—Unverified
2VoxelNeAP50.55—Unverified
3Frustum PointNetsAP50.39—Unverified
#ModelMetricClaimedVerifiedStatus
1GPT4-Vision 4-shot+CoTAccuracy49.7—Unverified
2Gemini-Pro 4-shot+CoTAccuracy33.9—Unverified
#ModelMetricClaimedVerifiedStatus
1Frustum PointNetsAP84—Unverified
2VoxelNetAP79.26—Unverified
#ModelMetricClaimedVerifiedStatus
1Frustrum-PointPillarsAP60.98—Unverified
#ModelMetricClaimedVerifiedStatus
1Hausdorff LossPrecision88.1—Unverified
#ModelMetricClaimedVerifiedStatus
1oursCorLoc41.2—Unverified
#ModelMetricClaimedVerifiedStatus
1oursCorLoc47.45—Unverified
#ModelMetricClaimedVerifiedStatus
1Hausdorff LossF-Score88.6—Unverified
#ModelMetricClaimedVerifiedStatus
1Hausdorff LossRecall89.2—Unverified