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 301–350 of 617 papers

TitleStatusHype
Fast Object Localization Using a CNN Feature Map Based Multi-Scale Search—0
FAST OBJECT LOCALIZATION VIA SENSITIVITY ANALYSIS—0
Fast On-Line Kernel Density Estimation for Active Object Localization—0
FAST-Splat: Fast, Ambiguity-Free Semantics Transfer in Gaussian Splatting—0
"Sliced" Subwindow Search: a Sublinear-complexity Solution to the Maximum Rectangle Problem—0
Few-shot Geometry-Aware Keypoint Localization—0
Weakly-supervised Object Localization for Few-shot Learning and Fine-grained Few-shot Learning—0
SuperGSeg: Open-Vocabulary 3D Segmentation with Structured Super-Gaussians—0
Tactile Mapping and Localization from High-Resolution Tactile Imprints—0
Few-shot Weakly-Supervised Object Detection via Directional Statistics—0
Finding Fallen Objects Via Asynchronous Audio-Visual Integration—0
Fine-Grained Attention for Weakly Supervised Object Localization—0
LocPoseNet: Robust Location Prior for Unseen Object Pose Estimation—0
FingerSLAM: Closed-loop Unknown Object Localization and Reconstruction from Visuo-tactile Feedback—0
Flash Photography for Data-Driven Hidden Scene Recovery—0
Foreground Activation Maps for Weakly Supervised Object Localization—0
Foundation Models for Remote Sensing: An Analysis of MLLMs for Object Localization—0
FPAN: Fine-grained and Progressive Attention Localization Network for Data Retrieval—0
FRED: Towards a Full Rotation-Equivariance in Aerial Image Object Detection—0
Weakly Supervised Object Localization Using Things and Stuff Transfer—0
Fusing Saliency Maps with Region Proposals for Unsupervised Object Localization—0
Gaussian Processes with Context-Supported Priors for Active Object Localization—0
Generative Adversarial Networks for Unsupervised Object Co-localization—0
Geometry Aligned Variational Transformer for Image-conditioned Layout Generation—0
Boundary-aware Camouflaged Object Detection via Deformable Point Sampling—0
Text-guided Zero-Shot Object Localization—0
GloFinder: AI-empowered QuPath Plugin for WSI-level Glomerular Detection, Visualization, and Curation—0
GLRD: Global-Local Collaborative Reason and Debate with PSL for 3D Open-Vocabulary Detection—0
GP-select: Accelerating EM using adaptive subspace preselection—0
GridMix: Strong regularization through local context mapping—0
Stimulating Imagination: Towards General-purpose Object Rearrangement—0
The Devil is in the Task: Exploiting Reciprocal Appearance-Localization Features for Monocular 3D Object Detection—0
Grounding Scene Graphs on Natural Images via Visio-Lingual Message Passing—0
Ground-V: Teaching VLMs to Ground Complex Instructions in Pixels—0
GTA: Guided Transfer of Spatial Attention from Object-Centric Representations—0
Hand-Priming in Object Localization for Assistive Egocentric Vision—0
Heterogeneous Grid Convolution for Adaptive, Efficient, and Controllable Computation—0
Hierarchical Complementary Learning for Weakly Supervised Object Localization—0
HiLM-D: Towards High-Resolution Understanding in Multimodal Large Language Models for Autonomous Driving—0
Four Ways to Improve Verbo-visual Fusion for Dense 3D Visual Grounding—0
How hard can it be? Estimating the difficulty of visual search in an image—0
How semantic and geometric information mutually reinforce each other in ToF object localization—0
How spatial frequencies and color drive object search in real-world scenes: A new eye-movement corpus—0
I3DOD: Towards Incremental 3D Object Detection via Prompting—0
Progressive Domain Adaptation with Contrastive Learning for Object Detection in the Satellite Imagery—0
Identify, locate and separate: Audio-visual object extraction in large video collections using weak supervision—0
IENet: Interacting Embranchment One Stage Anchor Free Detector for Orientation Aerial Object Detection—0
Time is on my sight: scene graph filtering for dynamic environment perception in an LLM-driven robot—0
Image Retrieval Using Scene Graphs—0
Improved Techniques For Weakly-Supervised Object Localization—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