Object Localization
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Benchmarks
REVERIE
IllusionVQA
GRIT
KITTI Pedestrians Hard
KITTI Cars Easy
KITTI Cars Hard
KITTI Cars Moderate
KITTI Cyclists Easy
KITTI Cyclists Hard
KITTI Cyclists Moderate
KITTI Pedestrians Easy
KITTI Pedestrian Easy
Mall
PASCAL VOC 2007
PASCAL VOC 2012
Plant
Pupil
Most implemented
Mask R-CNN
Frustum PointNets for 3D Object Detection from RGB-D Data
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
Microsoft COCO: Common Objects in Context
Learning Deep Features for Discriminative Localization
Papers
Tail-Likelihood Reinforcement Learning
Reinforcement learning typically optimizes average reward. For generative policies, the average can hide an important distinction: two policies can achieve the same mean reward while having very different chances of prod…
Reinforcement LearningObject LocalizationWALDO: One-Shot Exemplar-Conditioned Object Detection in Cluttered Scenes
Locating a specific object instance in a cluttered scene using a single reference image and a short description, and reporting when that instance is absent, large vision-language models usually address this task. We ask …
Object LocalizationObject DetectionGrounding Isn't Knowing: Do VLMs Need Object Localization for Spatial Reasoning?
Vision-language models (VLMs) can answer spatial questions, yet the mechanisms connecting object grounding to spatial reasoning remain poorly understood. It is underexplored whether spatial reasoning internally requires …
Object LocalizationSpatial ReasoningDoomed to Re-Annotate, Forever: The ImageNet Story
Top-1 accuracy on ImageNet-1k remains the most commonly reported metric in visual recognition. Quality issues with the dataset have been repeatedly reported, yet the original 2012 noisy labels are still predominantly use…
Object LocalizationDRPFNet: Dual-domain Residual Progressive Fusion Network for RGB-Thermal Object Detection
RGB-thermal (RGB-T) object detection aims to fuse complementary information from visible and thermal modalities to achieve robust detection under varying illumination and weather conditions. Current methods typically emp…
Object LocalizationObject DetectionRadYOLO: Computationally Efficient 3D Object Detection and Segmentation in CT and MRI
Object detection and segmentation in three-dimensional medical images is a very active area of research. However, most proposed deep learning models carry a high computational cost, and only few aim to be broadly applica…
3D Object DetectionObject Localization