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 251–300 of 617 papers

TitleStatusHype
Constrained Sampling for Class-Agnostic Weakly Supervised Object Localization—0
Exploring to learn visual saliency: The RL-IAC approach—0
Deep Learning for Weakly-Supervised Object Detection and Object Localization: A Survey—0
Progressive Domain Adaptation with Contrastive Learning for Object Detection in the Satellite Imagery—0
Exploring Modality Guidance to Enhance VFM-based Feature Fusion for UDA in 3D Semantic Segmentation—0
Confidence-driven Bounding Box Localization for Small Object Detection—0
AuxDepthNet: Real-Time Monocular 3D Object Detection with Depth-Sensitive Features—0
Auto-Prompting SAM for Weakly Supervised Landslide Extraction—0
Compression and Localization in Reinforcement Learning for ATARI Games—0
MOSE: Boosting Vision-based Roadside 3D Object Detection with Scene Cues—0
MOST: Multiple Object localization with Self-supervised Transformers for object discovery—0
3D-Aware Object Localization using Gaussian Implicit Occupancy Function—0
ML-LocNet: Improving Object Localization with Multi-view Learning Network—0
Erasing Integrated Learning: A Simple Yet Effective Approach for Weakly Supervised Object Localization—0
Autonomous Marker-less Rapid Aerial Grasping—0
MOLTR: Multiple Object Localisation, Tracking, and Reconstruction from Monocular RGB Videos—0
Equivariant Spatio-Temporal Self-Supervision for LiDAR Object Detection—0
Entropy Guided Adversarial Model for Weakly Supervised Object Localization—0
Co-localization with Category-Consistent Features and Geodesic Distance Propagation—0
Ensemble of Part Detectors for Simultaneous Classification and Localization—0
Collaborative Deep Reinforcement Learning for Joint Object Search—0
Automatic Construction of Real-World Datasets for 3D Object Localization using Two Cameras—0
Counterfactual Co-occurring Learning for Bias Mitigation in Weakly-supervised Object Localization—0
MomentSeeker: A Task-Oriented Benchmark For Long-Video Moment Retrieval—0
Motion-Appearance Interactive Encoding for Object Segmentation in Unconstrained Videos—0
Enabling Computer Vision Driven Assistive Devices for the Visually Impaired via Micro-architecture Design Exploration—0
Stimulating Imagination: Towards General-purpose Object Rearrangement—0
Embodied Visual Recognition—0
Embodied Amodal Recognition: Learning to Move to Perceive Objects—0
Active Object Localization in Visual Situations—0
EcoSense: Energy-Efficient Intelligent Sensing for In-Shore Ship Detection through Edge-Cloud Collaboration—0
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement—0
Attention-Aware Generative Adversarial Networks (ATA-GANs)—0
Dual Normalization Multitasking for Audio-Visual Sounding Object Localization—0
Dual-attention Focused Module for Weakly Supervised Object Localization—0
Class Correlation affects Single Object Localization using Pre-trained ConvNets—0
A Systematic Study on Object Recognition Using Millimeter-wave Radar—0
MinMaxCAM: Improving object coverage for CAM-basedWeakly Supervised Object Localization—0
MPDIoU: A Loss for Efficient and Accurate Bounding Box Regression—0
DSD-DA: Distillation-based Source Debiasing for Domain Adaptive Object Detection—0
Dr. Splat: Directly Referring 3D Gaussian Splatting via Direct Language Embedding Registration—0
Asynchronous Collaborative Localization by Integrating Spatiotemporal Graph Learning with Model-Based Estimation—0
CFIS-YOLO: A Lightweight Multi-Scale Fusion Network for Edge-Deployable Wood Defect Detection—0
Maximum Cohesive Grid of Superpixels for Fast Object Localization—0
Domain Adaptation for Large-Vocabulary Object Detectors—0
CELNet: Evidence Localization for Pathology Images using Weakly Supervised Learning—0
CDP: Towards Robust Autoregressive Visuomotor Policy Learning via Causal Diffusion—0
Diverse Instance Discovery: Vision-Transformer for Instance-Aware Multi-Label Image Recognition—0
Associative embeddings for large-scale knowledge transfer with self-assessment—0
Max-Margin Structured Output Regression for Spatio-Temporal Action 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