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 301–350 of 617 papers

TitleStatusHype
C2AM: Contrastive Learning of Class-Agnostic Activation Map for Weakly Supervised Object Localization and Semantic SegmentationCode2
P2P-Loc: Point to Point Tiny Person Localization—0
Background-aware Classification Activation Map for Weakly Supervised Object LocalizationCode0
The Devil is in the Task: Exploiting Reciprocal Appearance-Localization Features for Monocular 3D Object Detection—0
Class-aware Sounding Objects Localization via Audiovisual CorrespondenceCode1
ScanQA: 3D Question Answering for Spatial Scene UnderstandingCode1
A Simple Single-Scale Vision Transformer for Object Localization and Instance SegmentationCode0
LCTR: On Awakening the Local Continuity of Transformer for Weakly Supervised Object Localization—0
Modelling Lips-State Detection Using CNN for Non-Verbal Communications—0
Group-Wise Learning for Weakly Supervised Semantic SegmentationCode1
Background Activation Suppression for Weakly Supervised Object LocalizationCode1
DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse MotionCode1
TDAM: Top-Down Attention Module for Contextually Guided Feature Selection in CNNsCode1
UniTAB: Unifying Text and Box Outputs for Grounded Vision-Language ModelingCode1
Learning to Detect Instance-level Salient Objects Using Complementary Image Labels—0
Rethinking Drone-Based Search and Rescue with Aerial Person DetectionCode1
Space-Time Memory Network for Sounding Object Localization in Videos—0
Practical, Fast and Robust Point Cloud Registration for 3D Scene Stitching and Object Localization—0
SSA: Semantic Structure Aware Inference for Weakly Pixel-Wise Dense Predictions without Cost—0
Recognizing Vector Graphics without RasterizationCode1
Asynchronous Collaborative Localization by Integrating Spatiotemporal Graph Learning with Model-Based Estimation—0
Boundary Distribution Estimation for Precise Object Detection—0
Skeleton-Based Mutually Assisted Interacted Object Localization and Human Action Recognition—0
Video Instance Segmentation by Instance Flow Assembly—0
Oriented Feature Alignment for Fine-grained Object Recognition in High-Resolution Satellite Imagery—0
Online Refinement of Low-level Feature Based Activation Map for Weakly Supervised Object LocalizationCode1
Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDARCode1
Localizing Infinity-shaped fishes: Sketch-guided object localization in the wildCode0
F-CAM: Full Resolution Class Activation Maps via Guided Parametric UpscalingCode1
DAFNe: A One-Stage Anchor-Free Approach for Oriented Object DetectionCode1
Self-Taught Cross-Domain Few-Shot Learning with Weakly Supervised Object Localization and Task-Decomposition—0
Learning Open-World Object Proposals without Learning to ClassifyCode1
Progressive Coordinate Transforms for Monocular 3D Object DetectionCode1
Weakly Supervised Foreground Learning for Weakly Supervised Localization and Detection—0
Boosting Weakly Supervised Object Detection via Learning Bounding Box AdjustersCode1
Shallow Feature Matters for Weakly Supervised Object LocalizationCode1
Normalization Matters in Weakly Supervised Object LocalizationCode1
Towards Accurate Localization by Instance Search—0
Evaluation of Audio-Visual Alignments in Visually Grounded Speech ModelsCode0
Exploring Depth Contribution for Camouflaged Object Detection—0
LayerCAM: Exploring Hierarchical Class Activation Maps for LocalizationCode1
Strengthen Learning Tolerance for Weakly Supervised Object LocalizationCode0
Keep CALM and Improve Visual Feature AttributionCode1
Team RUC_AIM3 Technical Report at ActivityNet 2021: Entities Object LocalizationCode1
DETReg: Unsupervised Pretraining with Region Priors for Object DetectionCode1
Dual Normalization Multitasking for Audio-Visual Sounding Object Localization—0
Deep Learning for Weakly-Supervised Object Detection and Object Localization: A Survey—0
Improving Few-shot Learning with Weakly-supervised Object Localization—0
Deep Spiking Convolutional Neural Network for Single Object Localization Based On Deep Continuous Local Learning—0
MinMaxCAM: Improving object coverage for CAM-basedWeakly 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