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 201–250 of 617 papers

TitleStatusHype
Convolutional STN for Weakly Supervised Object LocalizationCode0
Contrastive Corpus Attribution for Explaining RepresentationsCode0
Fast YOLO: A Fast You Only Look Once System for Real-time Embedded Object Detection in VideoCode0
ALWOD: Active Learning for Weakly-Supervised Object DetectionCode0
ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised LocalizationCode0
Personal Fixations-Based Object Segmentation with Object Localization and Boundary PreservationCode0
PixelCAM: Pixel Class Activation Mapping for Histology Image Classification and ROI LocalizationCode0
A Realistic Protocol for Evaluation of Weakly Supervised Object LocalizationCode0
TeD-Loc: Text Distillation for Weakly Supervised Object LocalizationCode0
Attributional Robustness Training using Input-Gradient Spatial AlignmentCode0
Explaining Multi-modal Large Language Models by Analyzing their Vision PerceptionCode0
Concept Visualization: Explaining the CLIP Multi-modal Embedding Using WordNetCode0
CPR++: Object Localization via Single Coarse Point SupervisionCode0
Expeditious Saliency-guided Mix-up through Random Gradient ThresholdingCode0
Evaluation of Audio-Visual Alignments in Visually Grounded Speech ModelsCode0
All-pairs Consistency Learning for Weakly Supervised Semantic SegmentationCode0
One-Shot General Object LocalizationCode0
Evaluation and Comparison of Visual Language Models for Transportation Engineering ProblemsCode0
Combinational Class Activation Maps for Weakly Supervised Object LocalizationCode0
Rethinking Localization Map: Towards Accurate Object Perception with Self-Enhancement MapsCode0
CoLo-CAM: Class Activation Mapping for Object Co-Localization in Weakly-Labeled Unconstrained VideosCode0
Active Object Localization with Deep Reinforcement LearningCode0
Object detection via a multi-region & semantic segmentation-aware CNN modelCode0
Object Detectors Emerge in Deep Scene CNNsCode0
ALINA: Advanced Line Identification and Notation AlgorithmCode0
Enhancing Satellite Object Localization with Dilated Convolutions and Attention-aided Spatial PoolingCode0
Object Detection via a Multi-Region and Semantic Segmentation-Aware CNN ModelCode0
Object Localization under Single Coarse Point SupervisionCode0
Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation dataCode0
3-Dimensional Sonic Phase-invariant Echo LocalizationCode0
End-to-end detection-segmentation network with ROI convolutionCode0
Multispectral Detection Transformer with Infrared-Centric Sensor FusionCode0
C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object DetectionCode0
Grid R-CNNCode0
Understanding the effects of artifacts on automated polyp detection and incorporating that knowledge via learning without forgettingCode0
EgoCOL: Egocentric Camera pose estimation for Open-world 3D object Localization @Ego4D challenge 2023Code0
DANet: Divergent Activation for Weakly Supervised Object LocalizationCode0
SIXray : A Large-scale Security Inspection X-ray Benchmark for Prohibited Item Discovery in Overlapping ImagesCode0
Attention-based Dropout Layer for Weakly Supervised Object LocalizationCode0
MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object LocalizationCode0
Min-Entropy Latent Model for Weakly Supervised Object DetectionCode0
Trade-offs in Fine-tuned Diffusion Models Between Accuracy and InterpretabilityCode0
Masked Multi-Query Slot Attention for Unsupervised Object DiscoveryCode0
Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-supervised Object and Action LocalizationCode0
Do Pre-trained Vision-Language Models Encode Object States?Code0
Soft Proposal Networks for Weakly Supervised Object LocalizationCode0
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real WorldCode0
MB-ORES: A Multi-Branch Object Reasoner for Visual Grounding in Remote SensingCode0
Does Thermal Really Always Matter for RGB-T Salient Object Detection?Code0
Distance to Center of Mass Encoding for Instance SegmentationCode0
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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