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 41014125 of 10420 papers

TitleStatusHype
Hysteresis Activation Function for Efficient InferenceCode0
Hyperspectral Image Classification with Markov Random Fields and a Convolutional Neural NetworkCode0
Attention Branch Network: Learning of Attention Mechanism for Visual ExplanationCode0
Hyperspectral Image Classification With Contrastive Graph Convolutional NetworkCode0
iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-Training for Visual RecognitionCode0
Hyperspectral Image Classification in the Presence of Noisy LabelsCode0
Hyperspectral Image Classification: Artifacts of Dimension Reduction on Hybrid CNNCode0
CrisisViT: A Robust Vision Transformer for Crisis Image ClassificationCode0
Hyperspectral Image Classification via Transformer-based Spectral-Spatial Attention Decoupling and Adaptive GatingCode0
Creative Discovery using QD SearchCode0
Hyperparameter Ensembles for Robustness and Uncertainty QuantificationCode0
Hyper-Process Model: A Zero-Shot Learning algorithm for Regression Problems based on Shape AnalysisCode0
Hyperspectral image classification via a random patches networkCode0
Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical ProjectionsCode0
CP-decomposition with Tensor Power Method for Convolutional Neural Networks CompressionCode0
Tensor decomposition to Compress Convolutional Layers in Deep LearningCode0
HyperbolicLR: Epoch insensitive learning rate schedulerCode0
HyperDID: Hyperspectral Intrinsic Image Decomposition with Deep Feature EmbeddingCode0
Hyperspectral Image Classification via Sparse Representation With Incremental DictionariesCode0
Immiscible Color Flows in Optimal Transport Networks for Image ClassificationCode0
Improving the Gating Mechanism of Recurrent Neural NetworksCode0
KPCA-CAM: Visual Explainability of Deep Computer Vision Models using Kernel PCACode0
COVID-19 Detection on Chest X-Ray Images: A comparison of CNN architectures and ensemblesCode0
Human-imperceptible, Machine-recognizable ImagesCode0
Attend and Rectify: a Gated Attention Mechanism for Fine-Grained RecoveryCode0
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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