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 101125 of 617 papers

TitleStatusHype
InstanceRefer: Cooperative Holistic Understanding for Visual Grounding on Point Clouds through Instance Multi-level Contextual ReferringCode1
CORA: Adapting CLIP for Open-Vocabulary Detection with Region Prompting and Anchor Pre-MatchingCode1
Bagging Regional Classification Activation Maps for Weakly Supervised Object LocalizationCode1
Faraway-Frustum: Dealing with Lidar Sparsity for 3D Object Detection using FusionCode1
BEVNeXt: Reviving Dense BEV Frameworks for 3D Object DetectionCode1
Online Refinement of Low-level Feature Based Activation Map for Weakly Supervised Object LocalizationCode1
Keep It SimPool: Who Said Supervised Transformers Suffer from Attention Deficit?Code1
CREAM: Weakly Supervised Object Localization via Class RE-Activation MappingCode1
UniTAB: Unifying Text and Box Outputs for Grounded Vision-Language ModelingCode1
F-CAM: Full Resolution Class Activation Maps via Guided Parametric UpscalingCode1
Deep Learning Innovations for Underwater Waste Detection: An In-Depth AnalysisCode1
IllusionVQA: A Challenging Optical Illusion Dataset for Vision Language ModelsCode1
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable FeaturesCode1
FlightScope: An Experimental Comparative Review of Aircraft Detection Algorithms in Satellite ImageryCode1
Frustum PointNets for 3D Object Detection from RGB-D DataCode1
DAFNe: A One-Stage Anchor-Free Approach for Oriented Object DetectionCode1
DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse MotionCode1
Generative Prompt Model for Weakly Supervised Object LocalizationCode1
Group-Wise Learning for Weakly Supervised Semantic SegmentationCode1
TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object LocalizationCode1
Boosting Weakly Supervised Object Detection via Learning Bounding Box AdjustersCode1
DeepCut: Unsupervised Segmentation using Graph Neural Networks ClusteringCode1
Anchor-free Small-scale Multispectral Pedestrian DetectionCode1
Grad-CAM++: Improved Visual Explanations for Deep Convolutional NetworksCode1
HINT: Hierarchical Neuron Concept ExplainerCode1
Show:102550
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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