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 88018825 of 10420 papers

TitleStatusHype
Compositional Model based Fisher Vector Coding for Image ClassificationCode0
Quantitative Analysis of Primary Attribution Explainable Artificial Intelligence Methods for Remote Sensing Image ClassificationCode0
Drop-Activation: Implicit Parameter Reduction and Harmonic RegularizationCode0
Residual and Plain Convolutional Neural Networks for 3D Brain MRI ClassificationCode0
Outside the Box: Abstraction-Based Monitoring of Neural NetworksCode0
A Twofold Siamese Network for Real-Time Object TrackingCode0
Overcoming Distribution Mismatch in Quantizing Image Super-Resolution NetworksCode0
Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning ApproachCode0
Quantization NetworksCode0
Competing Ratio Loss for Discriminative Multi-class Image ClassificationCode0
Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking Neural NetworksCode0
Overcoming Long-term Catastrophic Forgetting through Adversarial Neural Pruning and Synaptic ConsolidationCode0
A Tunable Robust Pruning Framework Through Dynamic Network Rewiring of DNNsCode0
Residual Attention Network for Image ClassificationCode0
Reweighting Augmented Samples by Minimizing the Maximal Expected LossCode0
Attribute-Guided Multi-Level Attention Network for Fine-Grained Fashion RetrievalCode0
Diverse Gaussian Noise Consistency Regularization for Robustness and Uncertainty CalibrationCode0
Mish: A Self Regularized Non-Monotonic Activation FunctionCode0
HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image ClassificationCode0
Comparison Knowledge Translation for Generalizable Image ClassificationCode0
Attribute-based Visual Reprogramming for Image Classification with CLIPCode0
DeMansia: Mamba Never Forgets Any TokensCode0
HyenaPixel: Global Image Context with ConvolutionsCode0
DPA: Dual Prototypes Alignment for Unsupervised Adaptation of Vision-Language ModelsCode0
Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy ImitationCode0
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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
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 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