SOTAVerified

Image Classification

Image Classification is a fundamental task in vision recognition that aims to understand and categorize an image as a whole under a specific label. Unlike object detection, which involves classification and location of multiple objects within an image, image classification typically pertains to single-object images. When the classification becomes highly detailed or reaches instance-level, it is often referred to as image retrieval, which also involves finding similar images in a large database.

Source: Metamorphic Testing for Object Detection Systems

Papers

Showing 13011325 of 10420 papers

TitleStatusHype
Averaging Weights Leads to Wider Optima and Better GeneralizationCode1
Generative Hierarchical Features from Synthesizing ImagesCode1
Learning Hierarchical Image Segmentation For Recognition and By RecognitionCode1
CondenseNet V2: Sparse Feature Reactivation for Deep NetworksCode1
A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning ProcessesCode1
Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional NetworksCode1
Black-box Few-shot Knowledge DistillationCode1
Geography-Aware Self-Supervised LearningCode1
Adaptive DropBlock Enhanced Generative Adversarial Networks for Hyperspectral Image ClassificationCode1
AwesomeMeta+: A Mixed-Prototyping Meta-Learning System Supporting AI Application Design AnywhereCode1
Denoised Smoothing: A Provable Defense for Pretrained ClassifiersCode1
Efficient On-device Training via Gradient FilteringCode1
BitQ: Tailoring Block Floating Point Precision for Improved DNN Efficiency on Resource-Constrained DevicesCode1
Glance and Focus Networks for Dynamic Visual RecognitionCode1
Adaptive Edge Offloading for Image Classification Under Rate LimitCode1
Babel-ImageNet: Massively Multilingual Evaluation of Vision-and-Language RepresentationsCode1
Global Filter Networks for Image ClassificationCode1
GlobalMamba: Global Image Serialization for Vision MambaCode1
BiTr-Unet: a CNN-Transformer Combined Network for MRI Brain Tumor SegmentationCode1
Backdoor Attacks on Crowd CountingCode1
Gompertz Linear Units: Leveraging Asymmetry for Enhanced Learning DynamicsCode1
Consistency-based Active Learning for Object DetectionCode1
Container: Context Aggregation NetworkCode1
GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group PropagationCode1
Efficient Model for Image Classification With Regularization TricksCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified