Object Recognition

Object recognition is a computer vision technique for detecting + classifying objects in images or videos. Since this is a combined task of object detection plus image classification, the state-of-the-art tables are recorded for each component task here and here.

( Image credit: Tensorflow Object Detection API )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1531–1540 of 2042 papers

Title	Date	Tasks	Status
Object-conditioned Bag of Instances for Few-Shot Personalized Instance Recognition	Apr 1, 2024	Objectobject-detection	—Unverified
Object Sorting Using a Global Texture-Shape 3D Feature Descriptor	Feb 4, 2018	ObjectObject Detection	—Unverified
Object Detection based on LIDAR Temporal Pulses using Spiking Neural Networks	Oct 29, 2018	Autonomous DrivingBenchmarking	—Unverified
Object Detection based on the Collection of Geometric Evidence	Jun 25, 2023	Combinatorial OptimizationObject	—Unverified
ObjectFolder: A Dataset of Objects with Implicit Visual, Auditory, and Tactile Representations	Sep 16, 2021	3D ReconstructionObject	—Unverified
Object Localization with a Weakly Supervised CapsNet	May 20, 2018	ObjectObject Localization	—Unverified
ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models	Dec 1, 2019	BIG-bench Machine LearningImage Classification	—Unverified
Object Proposal Generation using Two-Stage Cascade SVMs	Jul 20, 2014	Computational EfficiencyObject	—Unverified
Object-QA: Towards High Reliable Object Quality Assessment	May 27, 2020	ObjectObject Recognition	—Unverified
Object Recognition and Identification Using ESM Data	Mar 22, 2016	ObjectObject Recognition	—Unverified

Show:10 25 50

← PrevPage 154 of 205Next →

All datasets shape bias CIFAR10-DVS N-Caltech 101 ObjectNet (All classes)ObjectNet (ImageNet classes)ObjectNet (ImageNet classes, trained on ImageNet)DVS128 Gesture MECCANO N-CARS

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Imagen	shape bias	98.7	—	Unverified
2	Stable Diffusion	shape bias	92.7	—	Unverified
3	Parti	shape bias	91.7	—	Unverified
4	ViT-22B-384	shape bias	86.4	—	Unverified
5	ViT-22B-560	shape bias	83.8	—	Unverified
6	CLIP (ViT-B)	shape bias	79.9	—	Unverified
7	ViT-22B-224	shape bias	78	—	Unverified
8	ResNet-50 (L2 eps 5.0 adv trained)	shape bias	69.5	—	Unverified
9	ResNet-50 (with strong augmentations)	shape bias	62.2	—	Unverified
10	SWSL (ResNeXt-101)	shape bias	49.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Spike-VGG11	Accuracy (% )	85.55	—	Unverified
2	SSNN	Accuracy (% )	78.57	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Spike-VGG11	Accuracy (% )	85.62	—	Unverified
2	SSNN	Accuracy (% )	79.25	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ObjectNet-Baseline	Top 5 Accuracy	18.75	—	Unverified
2	yun	Top 5 Accuracy	14.75	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ObjectNet-Baseline	Top 5 Accuracy	52.24	—	Unverified
2	DY	Top 5 Accuracy	0.08	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ObjectNet-Baseline	Top 5 Accuracy	52.24	—	Unverified
2	AJ2021	Top 5 Accuracy	27.68	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SSNN	Accuracy (% )	94.91	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Faster-RCNN	mAP	30.39	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Spike-VGG11	Accuracy (% )	96	—	Unverified