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

Showing 501550 of 617 papers

TitleStatusHype
Self-produced Guidance for Weakly-supervised Object LocalizationCode0
In pixels we trust: From Pixel Labeling to Object Localization and Scene Categorization0
A Generic Approach to Lung Field Segmentation from Chest Radiographs using Deep Space and Shape Learning0
Stereo Vision-based Semantic 3D Object and Ego-motion Tracking for Autonomous Driving0
Plenoptic Monte Carlo Object Localization for Robot Grasping under Layered Translucency0
Locating Objects Without Bounding BoxesCode1
Learning Object Localization and 6D Pose Estimation from Simulation and Weakly Labeled Real Images0
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation0
Visually Guided Spatial Relation Extraction from Text0
Generative Adversarial Networks for Unsupervised Object Co-localization0
Object Localization with a Weakly Supervised CapsNet0
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation0
Learning to Grasp Without Seeing0
Adapting Mask-RCNN for Automatic Nucleus Segmentation0
Localization: A Missing Link in the Pipeline of Object Matching and Registration0
Adversarial Complementary Learning for Weakly Supervised Object LocalizationCode0
Fusing Saliency Maps with Region Proposals for Unsupervised Object Localization0
FPAN: Fine-grained and Progressive Attention Localization Network for Data Retrieval0
Exploring to learn visual saliency: The RL-IAC approach0
Weakly Supervised Object Localization on grocery shelves using simple FCN and Synthetic Dataset0
A Non-Technical Survey on Deep Convolutional Neural Network Architectures0
The Earth ain't Flat: Monocular Reconstruction of Vehicles on Steep and Graded Roads from a Moving CameraCode0
Tell Me Where to Look: Guided Attention Inference NetworkCode0
Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning0
Attention-Aware Generative Adversarial Networks (ATA-GANs)0
Improved Techniques For Weakly-Supervised Object Localization0
Tiny SSD: A Tiny Single-shot Detection Deep Convolutional Neural Network for Real-time Embedded Object DetectionCode0
End-to-end detection-segmentation network with ROI convolutionCode0
Particle filter re-detection for visual tracking via correlation filters0
Distance to Center of Mass Encoding for Instance SegmentationCode0
Frustum PointNets for 3D Object Detection from RGB-D DataCode1
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object DetectionCode1
Improving Object Localization with Fitness NMS and Bounded IoU LossCode0
Grad-CAM++: Improved Visual Explanations for Deep Convolutional NetworksCode1
Class Correlation affects Single Object Localization using Pre-trained ConvNets0
Progressive Representation Adaptation for Weakly Supervised Object LocalizationCode0
Fast YOLO: A Fast You Only Look Once System for Real-time Embedded Object Detection in VideoCode0
Locating 3D Object Proposals: A Depth-Based Online Approach0
Soft Proposal Networks for Weakly Supervised Object LocalizationCode0
STNet: Selective Tuning of Convolutional Networks for Object Localization0
Two-Phase Learning for Weakly Supervised Object Localization0
Motion-Appearance Interactive Encoding for Object Segmentation in Unconstrained Videos0
3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-scale 3D Point Clouds0
Object-Extent Pooling for Weakly Supervised Single-Shot Localization0
Automatic Construction of Real-World Datasets for 3D Object Localization using Two Cameras0
RON: Reverse Connection with Objectness Prior Networks for Object DetectionCode0
WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and SegmentationCode0
Iterative Spectral Clustering for Unsupervised Object Localization0
Weakly supervised training of deep convolutional neural networks for overhead pedestrian localization in depth fields0
Ensemble of Part Detectors for Simultaneous Classification and Localization0
Show:102550
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1OSMaNRGSPL32.99Unverified
2SUSARGSPL27.31Unverified
3ShanksRGSPL22.85Unverified
4CVPR22RGSPL22.06Unverified
5damm1RGSPL15.96Unverified
61637RGSPL14.03Unverified
7init. PREVALENTRGSPL13.51Unverified
8AirbertRGSPL13.28Unverified
9init. OSCARRGSPL10Unverified
10SIARGSPL9.2Unverified
#ModelMetricClaimedVerifiedStatus
1VoxelNetAP89.35Unverified
2VoxelNetAP89.35Unverified
3Frustum PointNetsAP88.7Unverified
4Frustum PointNetsAP81.2Unverified
5VoxelNetAP77.47Unverified
#ModelMetricClaimedVerifiedStatus
1Frustrum-PointPillarsAP48.3Unverified
2Frustum PointNetsAP47.2Unverified
3Frustum PointNetsAP40.23Unverified
4VoxelNetAP38.11Unverified
5VoxelNetAP31.51Unverified
#ModelMetricClaimedVerifiedStatus
1Frustrum-PointPillarsAP52.23Unverified
2Frustum PointNetsAP50.22Unverified
3Frustum PointNetsAP42.15Unverified
4VoxelNetAP40.74Unverified
5VoxelNetAP33.69Unverified
#ModelMetricClaimedVerifiedStatus
1VoxelNetAP77.39Unverified
2Frustum PointNetsAP75.33Unverified
3Frustum PointNetsAP62.19Unverified
4VoxelNetAP57.73Unverified
#ModelMetricClaimedVerifiedStatus
1Frustum PointNetsAP75.38Unverified
2Frustum PointNetsAP71.96Unverified
3VoxelNetAP66.7Unverified
4VoxelNetAP61.22Unverified
#ModelMetricClaimedVerifiedStatus
1Frustum PointNetsAP61.96Unverified
2Frustum PointNetsAP56.77Unverified
3VoxelNetAP54.76Unverified
4VoxelNetAP48.36Unverified
#ModelMetricClaimedVerifiedStatus
1Frustum PointNetsAP58.09Unverified
2Frustum PointNetsAP51.21Unverified
3VoxelNetAP46.13Unverified
4VoxelNetAP39.48Unverified
#ModelMetricClaimedVerifiedStatus
1Unified-IOXLLocalization (ablation)67Unverified
2GPV-2Localization (ablation)53.6Unverified
3Mask R-CNNLocalization (ablation)44.7Unverified
#ModelMetricClaimedVerifiedStatus
1Frustum PointNetsAP54.68Unverified
2VoxelNeAP50.55Unverified
3Frustum PointNetsAP50.39Unverified
#ModelMetricClaimedVerifiedStatus
1GPT4-Vision 4-shot+CoTAccuracy49.7Unverified
2Gemini-Pro 4-shot+CoTAccuracy33.9Unverified
#ModelMetricClaimedVerifiedStatus
1Frustum PointNetsAP84Unverified
2VoxelNetAP79.26Unverified
#ModelMetricClaimedVerifiedStatus
1Frustrum-PointPillarsAP60.98Unverified
#ModelMetricClaimedVerifiedStatus
1Hausdorff LossPrecision88.1Unverified
#ModelMetricClaimedVerifiedStatus
1oursCorLoc41.2Unverified
#ModelMetricClaimedVerifiedStatus
1oursCorLoc47.45Unverified
#ModelMetricClaimedVerifiedStatus
1Hausdorff LossF-Score88.6Unverified
#ModelMetricClaimedVerifiedStatus
1Hausdorff LossRecall89.2Unverified