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 351–400 of 617 papers

TitleStatusHype
Point Cloud Registration-Driven Robust Feature Matching for 3D Siamese Object Tracking—0
Discriminative Sampling of Proposals in Self-Supervised Transformers for Weakly Supervised Object Localization—0
Constrained Sampling for Class-Agnostic Weakly Supervised Object Localization—0
Progressive Domain Adaptation with Contrastive Learning for Object Detection in the Satellite Imagery—0
Geometry Aligned Variational Transformer for Image-conditioned Layout Generation—0
TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained VideosCode0
Detect and Approach: Close-Range Navigation Support for People with Blindness and Low Vision—0
TransPillars: Coarse-to-Fine Aggregation for Multi-Frame 3D Object Detection—0
Finding Fallen Objects Via Asynchronous Audio-Visual Integration—0
Real-time Full-stack Traffic Scene Perception for Autonomous Driving with Roadside Cameras—0
Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks—0
Spiking Neural Networks for Frame-based and Event-based Single Object Localization—0
Location-free Human Pose Estimation—0
Visuomotor Control in Multi-Object Scenes Using Object-Aware Representations—0
Learning 6-DoF Object Poses to Grasp Category-level Objects by Language Instructions—0
Diverse Instance Discovery: Vision-Transformer for Instance-Aware Multi-Label Image Recognition—0
Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization—0
Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization—0
Learning Consistency from High-quality Pseudo-labels for Weakly Supervised Object Localization—0
Object Localization under Single Coarse Point Supervision—0
Learning Transferable Reward for Query Object Localization with Policy AdaptationCode0
Webly Supervised Concept Expansion for General Purpose Vision Models—0
Probing the Role of Positional Information in Vision-Language Models—0
CaFT: Clustering and Filter on Tokens of Transformer for Weakly Supervised Object Localization—0
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
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
Learning to Detect Instance-level Salient Objects Using Complementary Image Labels—0
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
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
Localizing Infinity-shaped fishes: Sketch-guided object localization in the wildCode0
Self-Taught Cross-Domain Few-Shot Learning with Weakly Supervised Object Localization and Task-Decomposition—0
Weakly Supervised Foreground Learning for Weakly Supervised Localization and Detection—0
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
Strengthen Learning Tolerance for Weakly Supervised Object LocalizationCode0
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
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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