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

Showing 51100 of 617 papers

TitleStatusHype
Few-shot Object LocalizationCode1
BEVNeXt: Reviving Dense BEV Frameworks for 3D Object DetectionCode1
Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-based Beam SearchCode1
Learning to Augment Synthetic Images for Sim2Real Policy TransferCode1
Frustum PointNets for 3D Object Detection from RGB-D DataCode1
FDCNet: Feature Drift Compensation Network for Class-Incremental Weakly Supervised Object LocalizationCode1
Cross-Modal Weighting Network for RGB-D Salient Object DetectionCode1
Mask R-CNNCode1
Boosting Segment Anything Model Towards Open-Vocabulary LearningCode1
Boosting Weakly Supervised Object Detection via Learning Bounding Box AdjustersCode1
Anchor-free Small-scale Multispectral Pedestrian DetectionCode1
Few-Shot Object Detection via Variational Feature AggregationCode1
Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDARCode1
Keep CALM and Improve Visual Feature AttributionCode1
Exploring Foveation and Saccade for Improved Weakly-Supervised LocalizationCode1
Evaluating Weakly Supervised Object Localization Methods RightCode1
Extending Large Vision-Language Model for Diverse Interactive Tasks in Autonomous DrivingCode1
Efficient Object Localization Using Convolutional NetworksCode1
CAM Back Again: Large Kernel CNNs from a Weakly Supervised Object Localization PerspectiveCode1
CREAM: Weakly Supervised Object Localization via Class RE-Activation MappingCode1
Egocentric Audio-Visual Object LocalizationCode1
Faraway-Frustum: Dealing with Lidar Sparsity for 3D Object Detection using FusionCode1
Cascade-DETR: Delving into High-Quality Universal Object DetectionCode1
EDN: Salient Object Detection via Extremely-Downsampled NetworkCode1
A Generic Visualization Approach for Convolutional Neural NetworksCode1
Eigen-CAM: Class Activation Map using Principal ComponentsCode1
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and DatasetsCode1
CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point CloudCode1
Class-aware Sounding Objects Localization via Audiovisual CorrespondenceCode1
Agent Journey Beyond RGB: Unveiling Hybrid Semantic-Spatial Environmental Representations for Vision-and-Language NavigationCode1
CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-FreeCode1
DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse MotionCode1
CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object NavigationCode1
CLIP the Gap: A Single Domain Generalization Approach for Object DetectionCode1
Audio-Visual Grouping Network for Sound Localization from MixturesCode1
Dual-attention Guided Dropblock Module for Weakly Supervised Object LocalizationCode1
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable FeaturesCode1
DAFNe: A One-Stage Anchor-Free Approach for Oriented Object DetectionCode1
Dual Attention U-Net with Feature Infusion: Pushing the Boundaries of Multiclass Defect SegmentationCode1
Geometry Constrained Weakly Supervised Object LocalizationCode1
GRIT: General Robust Image Task BenchmarkCode1
Grounding Everything: Emerging Localization Properties in Vision-Language TransformersCode1
HINT: Hierarchical Neuron Concept ExplainerCode1
IllusionVQA: A Challenging Optical Illusion Dataset for Vision Language ModelsCode1
Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval PredictorsCode1
Context-Aware Entity Grounding with Open-Vocabulary 3D Scene GraphsCode1
CORA: Adapting CLIP for Open-Vocabulary Detection with Region Prompting and Anchor Pre-MatchingCode1
DeepCut: Unsupervised Segmentation using Graph Neural Networks ClusteringCode1
Dual Progressive Transformations for Weakly Supervised Semantic SegmentationCode1
DETReg: Unsupervised Pretraining with Region Priors for Object DetectionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1OSMaNRGSPL32.99Unverified
2SUSARGSPL27.31Unverified
3ShanksRGSPL22.85Unverified
4CVPR22RGSPL22.06Unverified
5damm1RGSPL15.96Unverified
61637RGSPL14.03Unverified
7init. PREVALENTRGSPL13.51Unverified
8AirbertRGSPL13.28Unverified
9init. OSCARRGSPL10Unverified
10SIARGSPL9.2Unverified
#ModelMetricClaimedVerifiedStatus
1VoxelNetAP89.35Unverified
2VoxelNetAP89.35Unverified
3Frustum PointNetsAP88.7Unverified
4Frustum PointNetsAP81.2Unverified
5VoxelNetAP77.47Unverified
#ModelMetricClaimedVerifiedStatus
1Frustrum-PointPillarsAP48.3Unverified
2Frustum PointNetsAP47.2Unverified
3Frustum PointNetsAP40.23Unverified
4VoxelNetAP38.11Unverified
5VoxelNetAP31.51Unverified
#ModelMetricClaimedVerifiedStatus
1Frustrum-PointPillarsAP52.23Unverified
2Frustum PointNetsAP50.22Unverified
3Frustum PointNetsAP42.15Unverified
4VoxelNetAP40.74Unverified
5VoxelNetAP33.69Unverified
#ModelMetricClaimedVerifiedStatus
1VoxelNetAP77.39Unverified
2Frustum PointNetsAP75.33Unverified
3Frustum PointNetsAP62.19Unverified
4VoxelNetAP57.73Unverified
#ModelMetricClaimedVerifiedStatus
1Frustum PointNetsAP75.38Unverified
2Frustum PointNetsAP71.96Unverified
3VoxelNetAP66.7Unverified
4VoxelNetAP61.22Unverified
#ModelMetricClaimedVerifiedStatus
1Frustum PointNetsAP61.96Unverified
2Frustum PointNetsAP56.77Unverified
3VoxelNetAP54.76Unverified
4VoxelNetAP48.36Unverified
#ModelMetricClaimedVerifiedStatus
1Frustum PointNetsAP58.09Unverified
2Frustum PointNetsAP51.21Unverified
3VoxelNetAP46.13Unverified
4VoxelNetAP39.48Unverified
#ModelMetricClaimedVerifiedStatus
1Unified-IOXLLocalization (ablation)67Unverified
2GPV-2Localization (ablation)53.6Unverified
3Mask R-CNNLocalization (ablation)44.7Unverified
#ModelMetricClaimedVerifiedStatus
1Frustum PointNetsAP54.68Unverified
2VoxelNeAP50.55Unverified
3Frustum PointNetsAP50.39Unverified
#ModelMetricClaimedVerifiedStatus
1GPT4-Vision 4-shot+CoTAccuracy49.7Unverified
2Gemini-Pro 4-shot+CoTAccuracy33.9Unverified
#ModelMetricClaimedVerifiedStatus
1Frustum PointNetsAP84Unverified
2VoxelNetAP79.26Unverified
#ModelMetricClaimedVerifiedStatus
1Frustrum-PointPillarsAP60.98Unverified
#ModelMetricClaimedVerifiedStatus
1Hausdorff LossPrecision88.1Unverified
#ModelMetricClaimedVerifiedStatus
1oursCorLoc41.2Unverified
#ModelMetricClaimedVerifiedStatus
1oursCorLoc47.45Unverified
#ModelMetricClaimedVerifiedStatus
1Hausdorff LossF-Score88.6Unverified
#ModelMetricClaimedVerifiedStatus
1Hausdorff LossRecall89.2Unverified