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 401–450 of 617 papers

TitleStatusHype
RREx-BoT: Remote Referring Expressions with a Bag of Tricks—0
Salient Object Detection Combining a Self-attention Module and a Feature Pyramid Network—0
SANeRF-HQ: Segment Anything for NeRF in High Quality—0
Weakly Supervised Localization Using Background Images—0
Weakly Supervised Localization using Deep Feature Maps—0
SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding—0
An Application of Deep Learning for Sweet Cherry Phenotyping using YOLO Object Detection—0
Seeing Beyond Cancer: Multi-Institutional Validation of Object Localization and 3D Semantic Segmentation using Deep Learning for Breast MRI—0
Seeing with Humans: Gaze-Assisted Neural Image Captioning—0
A Non-Technical Survey on Deep Convolutional Neural Network Architectures—0
A Model Generalization Study in Localizing Indoor Cows with COw LOcalization (COLO) dataset—0
Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization—0
Associative embeddings for large-scale knowledge transfer with self-assessment—0
Asynchronous Collaborative Localization by Integrating Spatiotemporal Graph Learning with Model-Based Estimation—0
A Systematic Study on Object Recognition Using Millimeter-wave Radar—0
Attention-Aware Generative Adversarial Networks (ATA-GANs)—0
Self-learning Scene-specific Pedestrian Detectors using a Progressive Latent Model—0
Automatic Construction of Real-World Datasets for 3D Object Localization using Two Cameras—0
Autonomous Marker-less Rapid Aerial Grasping—0
Auto-Prompting SAM for Weakly Supervised Landslide Extraction—0
AuxDepthNet: Real-Time Monocular 3D Object Detection with Depth-Sensitive Features—0
AV-SAM: Segment Anything Model Meets Audio-Visual Localization and Segmentation—0
Self-Paced Learning for Latent Variable Models—0
Self-Supervised Learning for Biological Sample Localization in 3D Tomographic Images—0
Self-supervised Moving Vehicle Tracking with Stereo Sound—0
Self-Taught Cross-Domain Few-Shot Learning with Weakly Supervised Object Localization and Task-Decomposition—0
Beyond Object Categories: Multi-Attribute Reference Understanding for Visual Grounding—0
A Memory-Augmented Multi-Task Collaborative Framework for Unsupervised Traffic Accident Detection in Driving Videos—0
BirdSLAM: Monocular Multibody SLAM in Bird's-Eye View—0
BIV-Priv-Seg: Locating Private Content in Images Taken by People With Visual Impairments—0
Modelling Lips-State Detection Using CNN for Non-Verbal Communications—0
Self-taught Object Localization with Deep Networks—0
Self-Transfer Learning for Fully Weakly Supervised Object Localization—0
Bootstrapping Labelled Dataset Construction for Cow Tracking and Behavior Analysis—0
A Markerless Deep Learning-based 6 Degrees of Freedom PoseEstimation for with Mobile Robots using RGB Data—0
Boundary Distribution Estimation for Precise Object Detection—0
Boundary Regularized Building Footprint Extraction From Satellite Images Using Deep Neural Network—0
BOUNDARY REGULARIZED BUILDING FOOTPRINT EXTRACTION FROM SATELLITE IMAGES USING DEEP NEURAL NETWORKS—0
Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization—0
Semantic-Constraint Matching Transformer for Weakly Supervised Object Localization—0
CaFT: Clustering and Filter on Tokens of Transformer for Weakly Supervised Object Localization—0
Calibrating Uncertainties in Object Localization Task—0
Semantic Gaussians: Open-Vocabulary Scene Understanding with 3D Gaussian Splatting—0
Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform—0
Category-aware Allocation Transformer for Weakly Supervised Object Localization—0
CDP: Towards Robust Autoregressive Visuomotor Policy Learning via Causal Diffusion—0
CELNet: Evidence Localization for Pathology Images using Weakly Supervised Learning—0
CFIS-YOLO: A Lightweight Multi-Scale Fusion Network for Edge-Deployable Wood Defect Detection—0
Semantic Segmentation with Boundary Neural Fields—0
Semi-Supervised Object Detection with Object-wise Contrastive Learning and Regression Uncertainty—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