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
Memory-efficient particle filter recurrent neural network for object localization—0
Weakly Supervised Object Localization With Progressive Domain Adaptation—0
Training object class detectors with click supervision—0
Improve CAM with Auto-adapted Segmentation and Co-supervised Augmentation—0
MinMaxCAM: Improving object coverage for CAM-basedWeakly Supervised Object Localization—0
Counterfactual Co-occurring Learning for Bias Mitigation in Weakly-supervised Object Localization—0
ML-LocNet: Improving Object Localization with Multi-view Learning Network—0
MOLTR: Multiple Object Localisation, Tracking, and Reconstruction from Monocular RGB Videos—0
MomentSeeker: A Task-Oriented Benchmark For Long-Video Moment Retrieval—0
TransPillars: Coarse-to-Fine Aggregation for Multi-Frame 3D Object Detection—0
Tree-Structured Reinforcement Learning for Sequential Object Localization—0
Weakly Supervised Open-Vocabulary Object Detection—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
Motion-Appearance Interactive Encoding for Object Segmentation in Unconstrained Videos—0
MPDIoU: A Loss for Efficient and Accurate Bounding Box Regression—0
MsSVT++: Mixed-scale Sparse Voxel Transformer with Center Voting for 3D Object Detection—0
Multi-Beam Object-Localization for Millimeter-Wave ISAC-Aided Connected Autonomous Vehicles—0
Two-Phase Learning for Weakly Supervised Object Localization—0
Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning—0
Multi-fold MIL Training for Weakly Supervised Object Localization—0
Multimodal Query-guided Object Localization—0
Multi-Object Grounding via Hierarchical Contrastive Siamese Transformers—0
Multiparticle Kalman filter for object localization in symmetric environments—0
Multi-scale discriminative Region Discovery for Weakly-Supervised Object Localization—0
Multi-scale Multi-instance Visual Sound Localization and Segmentation—0
Multiscale Vision Transformer With Deep Clustering-Guided Refinement for Weakly Supervised Object Localization—0
Multi-View Priors for Learning Detectors from Sparse Viewpoint Data—0
Multi-view Sensor Fusion by Integrating Model-based Estimation and Graph Learning for Collaborative Object Localization—0
NEMO: Future Object Localization Using Noisy Ego Priors—0
NeRF-Loc: Transformer-Based Object Localization Within Neural Radiance Fields—0
NeurOCS: Neural NOCS Supervision for Monocular 3D Object Localization—0
Neuromorphic Optical Tracking and Imaging of Randomly Moving Targets through Strongly Scattering Media—0
UAV Object Detection and Positioning in a Mining Industrial Metaverse with Custom Geo-Referenced Data—0
NU-AIR -- A Neuromorphic Urban Aerial Dataset for Detection and Localization of Pedestrians and Vehicles—0
O2V-Mapping: Online Open-Vocabulary Mapping with Neural Implicit Representation—0
Object-Aware Centroid Voting for Monocular 3D Object Detection—0
Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks—0
Object Boundary Guided Semantic Segmentation—0
Unifying Vision-Language Representation Space with Single-tower Transformer—0
Unsupervised Learning Layers for Video Analysis—0
Object-Extent Pooling for Weakly Supervised Single-Shot Localization—0
Object Localization with a Weakly Supervised CapsNet—0
Object Localization and Size Estimation from RGB-D Images—0
Object Localization based on Structural SVM using Privileged Information—0
Object localization in ImageNet by looking out of the window—0
Object Localization Through a Single Multiple-Model Convolutional Neural Network with a Specific Training Approach—0
Object Localization under Single Coarse Point Supervision—0
Object Pose Estimation Annotation Pipeline for Multi-view Monocular Camera Systems in Industrial Settings—0
Object Preserving Siamese Network for Single Object Tracking on Point Clouds—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