SOTAVerified

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

Showing 76100 of 2042 papers

TitleStatusHype
Scaling may be all you need for achieving human-level object recognition capacity with human-like visual experienceCode1
DesCo: Learning Object Recognition with Rich Language DescriptionsCode1
EventCLIP: Adapting CLIP for Event-based Object RecognitionCode1
Paxion: Patching Action Knowledge in Video-Language Foundation ModelsCode1
Learning Semi-supervised Gaussian Mixture Models for Generalized Category DiscoveryCode1
Discover and Cure: Concept-aware Mitigation of Spurious CorrelationCode1
From Chaos Comes Order: Ordering Event Representations for Object Recognition and DetectionCode1
Explainable GeoAI: Can saliency maps help interpret artificial intelligence's learning process? An empirical study on natural feature detectionCode1
Learning Efficient Coding of Natural Images with Maximum Manifold Capacity RepresentationsCode1
Deep Learning for Event-based Vision: A Comprehensive Survey and BenchmarksCode1
Towards Local Visual Modeling for Image CaptioningCode1
TempSAL -- Uncovering Temporal Information for Deep Saliency PredictionCode1
TempSAL - Uncovering Temporal Information for Deep Saliency PredictionCode1
Part-guided Relational Transformers for Fine-grained Visual RecognitionCode1
Doubly Right Object Recognition: A Why Prompt for Visual RationalesCode1
PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain GeneralizationCode1
Learning Dense Object Descriptors from Multiple Views for Low-shot Category GeneralizationCode1
Harmonizing the object recognition strategies of deep neural networks with humansCode1
Object Segmentation of Cluttered Airborne LiDAR Point CloudsCode1
AdaNorm: Adaptive Gradient Norm Correction based Optimizer for CNNsCode1
Improving ProtoNet for Few-Shot Video Object Recognition: Winner of ORBIT Challenge 2022Code1
OBBStacking: An Ensemble Method for Remote Sensing Object DetectionCode1
BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in VideoCode1
Li-ion battery degradation modes diagnosis via Convolutional Neural NetworksCode1
Visual Recognition with Deep Nearest CentroidsCode1
Show:102550
← PrevPage 4 of 82Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Imagenshape bias98.7Unverified
2Stable Diffusionshape bias92.7Unverified
3Partishape bias91.7Unverified
4ViT-22B-384shape bias86.4Unverified
5ViT-22B-560shape bias83.8Unverified
6CLIP (ViT-B)shape bias79.9Unverified
7ViT-22B-224shape bias78Unverified
8ResNet-50 (L2 eps 5.0 adv trained)shape bias69.5Unverified
9ResNet-50 (with strong augmentations)shape bias62.2Unverified
10SWSL (ResNeXt-101)shape bias49.8Unverified
#ModelMetricClaimedVerifiedStatus
1Spike-VGG11Accuracy (% )85.55Unverified
2SSNNAccuracy (% )78.57Unverified
#ModelMetricClaimedVerifiedStatus
1Spike-VGG11Accuracy (% )85.62Unverified
2SSNNAccuracy (% )79.25Unverified
#ModelMetricClaimedVerifiedStatus
1ObjectNet-BaselineTop 5 Accuracy18.75Unverified
2yunTop 5 Accuracy14.75Unverified
#ModelMetricClaimedVerifiedStatus
1ObjectNet-BaselineTop 5 Accuracy52.24Unverified
2DYTop 5 Accuracy0.08Unverified
#ModelMetricClaimedVerifiedStatus
1ObjectNet-BaselineTop 5 Accuracy52.24Unverified
2AJ2021Top 5 Accuracy27.68Unverified
#ModelMetricClaimedVerifiedStatus
1SSNNAccuracy (% )94.91Unverified
#ModelMetricClaimedVerifiedStatus
1Faster-RCNNmAP30.39Unverified
#ModelMetricClaimedVerifiedStatus
1Spike-VGG11Accuracy (% )96Unverified