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 251–300 of 617 papers

TitleStatusHype
I see what you hear: a vision-inspired method to localize words—0
Robust Object Detection in Remote Sensing Imagery with Noisy and Sparse Geo-Annotations (Full Version)Code1
Perceptual Grouping in Contrastive Vision-Language ModelsCode1
Prototypical VoteNet for Few-Shot 3D Point Cloud Object DetectionCode1
Does Thermal Really Always Matter for RGB-T Salient Object Detection?Code0
Contrastive Corpus Attribution for Explaining RepresentationsCode0
Dual Progressive Transformations for Weakly Supervised Semantic SegmentationCode1
Scale-Invariant Fast Functional RegistrationCode1
NeRF-Loc: Transformer-Based Object Localization Within Neural Radiance Fields—0
An Attention-guided Multistream Feature Fusion Network for Localization of Risky Objects in Driving VideosCode1
Point Cloud Registration-Driven Robust Feature Matching for 3D Siamese Object Tracking—0
Discriminative Sampling of Proposals in Self-Supervised Transformers for Weakly Supervised Object Localization—0
Constrained Sampling for Class-Agnostic Weakly Supervised Object Localization—0
Progressive Domain Adaptation with Contrastive Learning for Object Detection in the Satellite Imagery—0
Geometry Aligned Variational Transformer for Image-conditioned Layout Generation—0
TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained VideosCode0
Detect and Approach: Close-Range Navigation Support for People with Blindness and Low Vision—0
Object Detection with Deep Reinforcement LearningCode1
TransPillars: Coarse-to-Fine Aggregation for Multi-Frame 3D Object Detection—0
Re-Attention Transformer for Weakly Supervised Object LocalizationCode1
Weakly Supervised Object Localization via Transformer with Implicit Spatial CalibrationCode1
On Label Granularity and Object LocalizationCode1
Bagging Regional Classification Activation Maps for Weakly Supervised Object LocalizationCode1
Finding Fallen Objects Via Asynchronous Audio-Visual Integration—0
Real-time Full-stack Traffic Scene Perception for Autonomous Driving with Roadside Cameras—0
Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks—0
Spiking Neural Networks for Frame-based and Event-based Single Object Localization—0
CREAM: Weakly Supervised Object Localization via Class RE-Activation MappingCode1
Location-free Human Pose Estimation—0
Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-based Beam SearchCode1
Visuomotor Control in Multi-Object Scenes Using Object-Aware Representations—0
Learning 6-DoF Object Poses to Grasp Category-level Objects by Language Instructions—0
GRIT: General Robust Image Task BenchmarkCode1
Diverse Instance Discovery: Vision-Transformer for Instance-Aware Multi-Label Image Recognition—0
ViTOL: Vision Transformer for Weakly Supervised Object LocalizationCode1
Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization—0
Total Variation Optimization Layers for Computer VisionCode1
Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization—0
HINT: Hierarchical Neuron Concept ExplainerCode1
Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic SegmentationCode2
CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object NavigationCode1
Learning Consistency from High-quality Pseudo-labels for Weakly Supervised Object Localization—0
Object Localization under Single Coarse Point SupervisionCode0
Multi-class Token Transformer for Weakly Supervised Semantic SegmentationCode1
Weakly Supervised Object Localization as Domain AdaptionCode1
Learning Transferable Reward for Query Object Localization with Policy AdaptationCode0
Crafting Better Contrastive Views for Siamese Representation LearningCode2
Webly Supervised Concept Expansion for General Purpose Vision Models—0
Probing the Role of Positional Information in Vision-Language Models—0
CaFT: Clustering and Filter on Tokens of Transformer for Weakly Supervised Object Localization—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