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 251275 of 617 papers

TitleStatusHype
Object detection via a multi-region & semantic segmentation-aware CNN modelCode0
Distance to Center of Mass Encoding for Instance SegmentationCode0
IDD-X: A Multi-View Dataset for Ego-relative Important Object Localization and Explanation in Dense and Unstructured TrafficCode0
Deep Learning for Identifying Iran's Cultural Heritage Buildings in Need of Conservation Using Image Classification and Grad-CAMCode0
A Smoother Way to Train Structured Prediction ModelsCode0
Discriminating Known From Unknown Objects via Structure-Enhanced Recurrent Variational AutoEncoderCode0
Multispectral Detection Transformer with Infrared-Centric Sensor FusionCode0
DiPS: Discriminative Pseudo-Label Sampling with Self-Supervised Transformers for Weakly Supervised Object LocalizationCode0
Dilated Residual NetworksCode0
MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object LocalizationCode0
A Simple Single-Scale Vision Transformer for Object Localization and Instance SegmentationCode0
Detecting Lesion Bounding Ellipses With Gaussian Proposal NetworksCode0
Adversarial Normalization: I Can Visualize Everything (ICE)Code0
Min-Entropy Latent Model for Weakly Supervised Object DetectionCode0
DenseTrack: Drone-based Crowd Tracking via Density-aware Motion-appearance SynergyCode0
Masked Multi-Query Slot Attention for Unsupervised Object DiscoveryCode0
DeNet: Scalable Real-time Object Detection with Directed Sparse SamplingCode0
BroadCAM: Outcome-agnostic Class Activation Mapping for Small-scale Weakly Supervised ApplicationsCode0
MB-ORES: A Multi-Branch Object Reasoner for Visual Grounding in Remote SensingCode0
In-sample Contrastive Learning and Consistent Attention for Weakly Supervised Object LocalizationCode0
Localizing Infinity-shaped fishes: Sketch-guided object localization in the wildCode0
Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A SurveyCode0
Pairwise Similarity Knowledge Transfer for Weakly Supervised Object LocalizationCode0
Learning Transferable Reward for Query Object Localization with Policy AdaptationCode0
A Novel Confidence Induced Class Activation Mapping for MRI Brain Tumor SegmentationCode0
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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