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 18761900 of 10420 papers

TitleStatusHype
ClusterFormer: Clustering As A Universal Visual LearnerCode1
Compositional Explanations of NeuronsCode1
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel SizesCode1
A Fully Tensorized Recurrent Neural NetworkCode1
FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene UnderstandingCode1
FlowNAS: Neural Architecture Search for Optical Flow EstimationCode1
CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep LearningCode1
Adversarially-Trained Deep Nets Transfer Better: Illustration on Image ClassificationCode1
Container: Context Aggregation NetworkCode1
FNA++: Fast Network Adaptation via Parameter Remapping and Architecture SearchCode1
Focal and Global Knowledge Distillation for DetectorsCode1
Grid Saliency for Context Explanations of Semantic SegmentationCode1
Group Fisher Pruning for Practical Network CompressionCode1
FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image RecognitionCode1
Harmonic Convolutional Networks based on Discrete Cosine TransformCode1
Forward Learning of Graph Neural NetworksCode1
CNN Filter DB: An Empirical Investigation of Trained Convolutional FiltersCode1
Fortuitous Forgetting in Connectionist NetworksCode1
SHISRCNet: Super-resolution And Classification Network For Low-resolution Breast Cancer Histopathology ImageCode1
Fourier Image TransformerCode1
Foundation Model Assisted Weakly Supervised Semantic SegmentationCode1
Fourier-basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image ClassificationCode1
How Important is Weight Symmetry in Backpropagation?Code1
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image ClassificationCode1
GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic ForgettingCode1
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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