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 276–300 of 2042 papers

Title	Date	Tasks	Status	Score
Grid Cell Path Integration For Movement-Based Visual Object Recognition	Feb 17, 2021	Few-Shot LearningNavigate	CodeCode Available	5
Geometric and Textural Augmentation for Domain Gap Reduction	Jan 1, 2022	ObjectObject Recognition	CodeCode Available	5
Geometry-Based Region Proposals for Real-Time Robot Detection of Tabletop Objects	Mar 14, 2017	Novel Object DetectionObject	CodeCode Available	5
Generate To Adapt: Aligning Domains using Generative Adversarial Networks	Apr 6, 2017	Domain AdaptationGenerative Adversarial Network	CodeCode Available	5
Genetic CNN	Mar 4, 2017	Object Recognition	CodeCode Available	5
Grounded Human-Object Interaction Hotspots from Video	Dec 11, 2018	Human-Object Interaction DetectionObject	CodeCode Available	5
Tuned Compositional Feature Replays for Efficient Stream Learning	Apr 6, 2021	Continual LearningImage Classification	CodeCode Available	5
GAANet: Ghost Auto Anchor Network for Detecting Varying Size Drones in Dark	May 5, 2023	Objectobject-detection	CodeCode Available	5
Generalisation in humans and deep neural networks	Aug 27, 2018	Object Recognition	CodeCode Available	5
Foveation in the Era of Deep Learning	Dec 3, 2023	Deep LearningFoveation	CodeCode Available	5
Foveated Instance Segmentation	Mar 27, 2025	Instance SegmentationObject Recognition	CodeCode Available	5
FPNN: Field Probing Neural Networks for 3D Data	May 20, 2016	3D geometry3D Object Recognition	CodeCode Available	5
Machine learning with neural networks	Jan 17, 2019	BIG-bench Machine LearningObject Recognition	CodeCode Available	5
Artificial Color Constancy via GoogLeNet with Angular Loss Function	Nov 20, 2018	Color ConstancyObject Recognition	CodeCode Available	5
Fit to Measure: Reasoning about Sizes for Robust Object Recognition	Oct 27, 2020	BIG-bench Machine LearningObject	CodeCode Available	5
Are we done with object recognition? The iCub robot's perspective	Sep 28, 2017	Deep LearningImage Retrieval	CodeCode Available	5
Food Image Recognition by Using Convolutional Neural Networks (CNNs)	Dec 3, 2016	Data AugmentationGeneral Classification	CodeCode Available	5
Are Vision Transformers More Data Hungry Than Newborn Visual Systems?	Dec 5, 2023	ObjectObject Recognition	CodeCode Available	5
Enhancing Fine-Grained 3D Object Recognition using Hybrid Multi-Modal Vision Transformer-CNN Models	Oct 3, 2022	3D Object RecognitionFine-Grained Image Classification	CodeCode Available	5
FoodTracker: A Real-time Food Detection Mobile Application by Deep Convolutional Neural Networks	Sep 13, 2019	NutritionObject Recognition	CodeCode Available	5
FewSOL: A Dataset for Few-Shot Object Learning in Robotic Environments	Jul 6, 2022	AttributeClassification	CodeCode Available	5
Feature Pyramid Grids	Apr 7, 2020	Neural Architecture Searchobject-detection	CodeCode Available	5
Finding Tiny Faces	Dec 13, 2016	Face DetectionObject Recognition	CodeCode Available	5
Feature Learning by Multidimensional Scaling and its Applications in Object Recognition	Jun 14, 2013	Object Recognition	CodeCode Available	5
3D Object Recognition with Ensemble Learning --- A Study of Point Cloud-Based Deep Learning Models	Apr 17, 2019	3D Classification3D Object Detection	CodeCode Available	5

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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