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 451–500 of 617 papers

TitleStatusHype
Class Correlation affects Single Object Localization using Pre-trained ConvNets—0
SEMPART: Self-supervised Multi-resolution Partitioning of Image Semantics—0
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement—0
Weakly Supervised Monocular 3D Detection with a Single-View Image—0
Collaborative Deep Reinforcement Learning for Joint Object Search—0
Co-localization with Category-Consistent Features and Geodesic Distance Propagation—0
Compression and Localization in Reinforcement Learning for ATARI Games—0
Confidence-driven Bounding Box Localization for Small Object Detection—0
Constrained Sampling for Class-Agnostic Weakly Supervised Object Localization—0
Simultaneous Food Localization and Recognition—0
Cooperative Multi-Monostatic Sensing for Object Localization in 6G Networks—0
Could We Generate Cytology Images from Histopathology Images? An Empirical Study—0
CPR++: Object Localization via Single Coarse Point Supervision—0
Skeleton-Based Mutually Assisted Interacted Object Localization and Human Action Recognition—0
Cross-Modal Distillation for 2D/3D Multi-Object Discovery from 2D Motion—0
Weakly-supervised multi-class object localization using only object counts as labels—0
A Generic Approach to Lung Field Segmentation from Chest Radiographs using Deep Space and Shape Learning—0
Cyclic Learning for Binaural Audio Generation and Localization—0
D2DF2WOD: Learning Object Proposals for Weakly-Supervised Object Detection via Progressive Domain Adaptation—0
Weakly Supervised Object Localization and Detection: A Survey—0
DeepAdaIn-Net: Deep Adaptive Device-Edge Collaborative Inference for Augmented Reality—0
Deep Contextual Attention for Human-Object Interaction Detection—0
Deep Joint Task Learning for Generic Object Extraction—0
Deep learning architectures for automated image segmentation—0
Deep Learning for Weakly-Supervised Object Detection and Object Localization: A Survey—0
Deep Mixture Density Network for Probabilistic Object Detection—0
Deep Self-Taught Learning for Weakly Supervised Object Localization—0
Deep Spiking Convolutional Neural Network for Single Object Localization Based On Deep Continuous Local Learning—0
Deformable Parts Correlation Filters for Robust Visual Tracking—0
Demystifying the Potential of ChatGPT-4 Vision for Construction Progress Monitoring—0
Dense CNN Learning with Equivalent Mappings—0
Density-Based Region Search with Arbitrary Shape for Object Localization—0
Exploring Depth Contribution for Camouflaged Object Detection—0
Detect and Approach: Close-Range Navigation Support for People with Blindness and Low Vision—0
DIAL: Dense Image-text ALignment for Weakly Supervised Semantic Segmentation—0
DiffusionSeg: Adapting Diffusion Towards Unsupervised Object Discovery—0
Discriminative Sampling of Proposals in Self-Supervised Transformers for Weakly Supervised Object Localization—0
Space-Time Memory Network for Sounding Object Localization in Videos—0
Diverse Instance Discovery: Vision-Transformer for Instance-Aware Multi-Label Image Recognition—0
Domain Adaptation for Large-Vocabulary Object Detectors—0
Dr. Splat: Directly Referring 3D Gaussian Splatting via Direct Language Embedding Registration—0
DSD-DA: Distillation-based Source Debiasing for Domain Adaptive Object Detection—0
Dual-attention Focused Module for Weakly Supervised Object Localization—0
Weakly Supervised Object Localization on grocery shelves using simple FCN and Synthetic Dataset—0
Weakly Supervised Object Localization Using Size Estimates—0
Dual Normalization Multitasking for Audio-Visual Sounding Object Localization—0
Spatio-Temporal Bi-directional Cross-frame Memory for Distractor Filtering Point Cloud Single Object Tracking—0
EcoSense: Energy-Efficient Intelligent Sensing for In-Shore Ship Detection through Edge-Cloud Collaboration—0
Spatio-temporal Tubelet Feature Aggregation and Object Linking in Videos—0
Split Matching for Inductive Zero-shot Semantic Segmentation—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