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 251–275 of 2042 papers

Title	Date	Tasks	Status	Score
Tuned Compositional Feature Replays for Efficient Stream Learning	Apr 6, 2021	Continual LearningImage Classification	CodeCode Available	5
Bayesian and Neural Inference on LSTM-based Object Recognition from Tactile and Kinesthetic Information	Jun 10, 2023	ObjectObject Recognition	CodeCode Available	5
Attention Based Pruning for Shift Networks	May 29, 2019	Object Recognition	CodeCode Available	5
On Adversarial Robustness of Point Cloud Semantic Segmentation	Dec 11, 2021	Adversarial RobustnessAutonomous Driving	CodeCode Available	5
Grid-augmented vision: A simple yet effective approach for enhanced spatial understanding in multi-modal agents	Nov 27, 2024	Autonomous NavigationObject Recognition	CodeCode Available	5
Global Second-order Pooling Convolutional Networks	Nov 29, 2018	Object Recognition	CodeCode Available	5
Grasp Pre-shape Selection by Synthetic Training: Eye-in-hand Shared Control on the Hannes Prosthesis	Mar 18, 2022	BenchmarkingObject Recognition	CodeCode Available	5
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
Towards Interpreting Recurrent Neural Networks through Probabilistic Abstraction	Sep 22, 2019	Machine TranslationObject 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
Algorithms for Semantic Segmentation of Multispectral Remote Sensing Imagery using Deep Learning	Mar 19, 2017	object-detectionObject Detection	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
Investigating the Gestalt Principle of Closure in Deep Convolutional Neural Networks	Nov 1, 2024	Object Recognition	CodeCode Available	5
GAANet: Ghost Auto Anchor Network for Detecting Varying Size Drones in Dark	May 5, 2023	Objectobject-detection	CodeCode Available	5
Foveated Instance Segmentation	Mar 27, 2025	Instance SegmentationObject Recognition	CodeCode Available	5
Associative Alignment for Few-shot Image Classification	Dec 11, 2019	ClassificationDomain Adaptation	CodeCode Available	5
Foveation in the Era of Deep Learning	Dec 3, 2023	Deep LearningFoveation	CodeCode Available	5
FoodTracker: A Real-time Food Detection Mobile Application by Deep Convolutional Neural Networks	Sep 13, 2019	NutritionObject Recognition	CodeCode Available	5
FPNN: Field Probing Neural Networks for 3D Data	May 20, 2016	3D geometry3D Object Recognition	CodeCode Available	5
Generalisation in humans and deep neural networks	Aug 27, 2018	Object Recognition	CodeCode Available	5
Fine-grained Attention and Feature-sharing Generative Adversarial Networks for Single Image Super-Resolution	Nov 25, 2019	Generative Adversarial NetworkImage Super-Resolution	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

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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