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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 51–75 of 617 papers

Title	Date	Tasks	Status	Hype
Bagging Regional Classification Activation Maps for Weakly Supervised Object Localization	Jul 16, 2022	ObjectObject Localization	CodeCode Available	1
BEVNeXt: Reviving Dense BEV Frameworks for 3D Object Detection	Dec 4, 2023	3D Object DetectionDecoder	CodeCode Available	1
Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-based Beam Search	May 19, 2022	Decision MakingImage Captioning	CodeCode Available	1
Few-Shot Object Detection via Variational Feature Aggregation	Jan 31, 2023	Few-Shot Object DetectionMeta-Learning	CodeCode Available	1
Dual-attention Guided Dropblock Module for Weakly Supervised Object Localization	Mar 9, 2020	Object LocalizationWeakly-Supervised Object Localization	CodeCode Available	1
Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDAR	Oct 11, 2021	2D Object Detection3D Object Detection	CodeCode Available	1
Geometry Constrained Weakly Supervised Object Localization	Jul 19, 2020	ObjectObject Localization	CodeCode Available	1
Global-Local Collaborative Inference with LLM for Lidar-Based Open-Vocabulary Detection	Jul 12, 2024	Collaborative InferenceLanguage Modelling	CodeCode Available	1
Boosting Segment Anything Model Towards Open-Vocabulary Learning	Dec 6, 2023	modelObject	CodeCode Available	1
Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters	Aug 3, 2021	Objectobject-detection	CodeCode Available	1
Anchor-free Small-scale Multispectral Pedestrian Detection	Aug 19, 2020	Autonomous DrivingData Augmentation	CodeCode Available	1
CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-Free	Sep 25, 2023	Image SegmentationObject Localization	CodeCode Available	1
Agent Journey Beyond RGB: Unveiling Hybrid Semantic-Spatial Environmental Representations for Vision-and-Language Navigation	Dec 9, 2024	Object LocalizationVision and Language Navigation	CodeCode Available	1
CLIP the Gap: A Single Domain Generalization Approach for Object Detection	Jan 13, 2023	Domain Generalizationimage-classification	CodeCode Available	1
Dual Attention U-Net with Feature Infusion: Pushing the Boundaries of Multiclass Defect Segmentation	Dec 21, 2023	Edge DetectionFeature Engineering	CodeCode Available	1
Evaluating Weakly Supervised Object Localization Methods Right	Jan 21, 2020	Few-Shot LearningModel Selection	CodeCode Available	1
Deep Learning Innovations for Underwater Waste Detection: An In-Depth Analysis	May 28, 2024	Object Localization	CodeCode Available	1
A Generic Visualization Approach for Convolutional Neural Networks	Jul 19, 2020	ClassificationGeneral Classification	CodeCode Available	1
Cascade-DETR: Delving into High-Quality Universal Object Detection	Jul 20, 2023	DecoderObject	CodeCode Available	1
DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion	Nov 29, 2021	Multi-Object TrackingObject	CodeCode Available	1
CAM Back Again: Large Kernel CNNs from a Weakly Supervised Object Localization Perspective	Mar 11, 2024	Data AugmentationObject Localization	CodeCode Available	1
CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud	Dec 5, 2020	3D Object DetectionBirds Eye View Object Detection	CodeCode Available	1
Class-aware Sounding Objects Localization via Audiovisual Correspondence	Dec 22, 2021	Objectobject-detection	CodeCode Available	1
DAFNe: A One-Stage Anchor-Free Approach for Oriented Object Detection	Sep 13, 2021	object-detectionObject Detection	CodeCode Available	1
DeepCut: Unsupervised Segmentation using Graph Neural Networks Clustering	Dec 12, 2022	ClusteringGraph Neural Network	CodeCode Available	1

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All datasets REVERIE KITTI Cars Easy KITTI Pedestrians Hard KITTI Pedestrians Moderate KITTI Cars Hard KITTI Cyclists Easy KITTI Cyclists Moderate KITTI Pedestrians Easy GRIT KITTI Cyclists Hard IllusionVQA KITTI Cars Moderate

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	OSMaN	RGSPL	32.99	—	Unverified
2	SUSA	RGSPL	27.31	—	Unverified
3	Shanks	RGSPL	22.85	—	Unverified
4	CVPR22	RGSPL	22.06	—	Unverified
5	damm1	RGSPL	15.96	—	Unverified
6	1637	RGSPL	14.03	—	Unverified
7	init. PREVALENT	RGSPL	13.51	—	Unverified
8	Airbert	RGSPL	13.28	—	Unverified
9	init. OSCAR	RGSPL	10	—	Unverified
10	SIA	RGSPL	9.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	VoxelNet	AP	89.35	—	Unverified
2	VoxelNet	AP	89.35	—	Unverified
3	Frustum PointNets	AP	88.7	—	Unverified
4	Frustum PointNets	AP	81.2	—	Unverified
5	VoxelNet	AP	77.47	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Frustrum-PointPillars	AP	48.3	—	Unverified
2	Frustum PointNets	AP	47.2	—	Unverified
3	Frustum PointNets	AP	40.23	—	Unverified
4	VoxelNet	AP	38.11	—	Unverified
5	VoxelNet	AP	31.51	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Frustrum-PointPillars	AP	52.23	—	Unverified
2	Frustum PointNets	AP	50.22	—	Unverified
3	Frustum PointNets	AP	42.15	—	Unverified
4	VoxelNet	AP	40.74	—	Unverified
5	VoxelNet	AP	33.69	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	VoxelNet	AP	77.39	—	Unverified
2	Frustum PointNets	AP	75.33	—	Unverified
3	Frustum PointNets	AP	62.19	—	Unverified
4	VoxelNet	AP	57.73	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Frustum PointNets	AP	75.38	—	Unverified
2	Frustum PointNets	AP	71.96	—	Unverified
3	VoxelNet	AP	66.7	—	Unverified
4	VoxelNet	AP	61.22	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Frustum PointNets	AP	61.96	—	Unverified
2	Frustum PointNets	AP	56.77	—	Unverified
3	VoxelNet	AP	54.76	—	Unverified
4	VoxelNet	AP	48.36	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Frustum PointNets	AP	58.09	—	Unverified
2	Frustum PointNets	AP	51.21	—	Unverified
3	VoxelNet	AP	46.13	—	Unverified
4	VoxelNet	AP	39.48	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Unified-IOXL	Localization (ablation)	67	—	Unverified
2	GPV-2	Localization (ablation)	53.6	—	Unverified
3	Mask R-CNN	Localization (ablation)	44.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Frustum PointNets	AP	54.68	—	Unverified
2	VoxelNe	AP	50.55	—	Unverified
3	Frustum PointNets	AP	50.39	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GPT4-Vision 4-shot+CoT	Accuracy	49.7	—	Unverified
2	Gemini-Pro 4-shot+CoT	Accuracy	33.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Frustum PointNets	AP	84	—	Unverified
2	VoxelNet	AP	79.26	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Frustrum-PointPillars	AP	60.98	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Hausdorff Loss	Precision	88.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ours	CorLoc	41.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ours	CorLoc	47.45	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Hausdorff Loss	F-Score	88.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Hausdorff Loss	Recall	89.2	—	Unverified