Procedure-Aware Pretraining for Instructional Video Understanding

🖥 Github: https://github.com/salesforce/paprika

⏩ Paper: https://arxiv.org/pdf/2303.18230v1.pdf

💨 Dataset: https://paperswithcode.com/dataset/howto100m

@ArtificialIntelligencedl

♾-Diff: Infinite Resolution Diffusion with Subsampled Mollified States

🖥 Github: https://github.com/samb-t/infty-diff

⏩ Paper: https://arxiv.org/pdf/2303.18242v1.pdf

💨 Dataset: https://paperswithcode.com/dataset/ffhq

@ArtificialIntelligencedl

Adaptive Sparse Pairwise Loss for Object Re-Identification


🖥 Github: https://github.com/astaxanthin/adasp

⏩ Paper: https://arxiv.org/pdf/2303.18247v1.pdf

💨 Dataset: https://paperswithcode.com/dataset/market-1501

@ArtificialIntelligencedl

CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Evaluations on HumanEval-X

🖥 Github: https://github.com/THUDM/CodeGeeX

⏩ Paper: https://arxiv.org/pdf/2303.17568v1.pdf

💨 Dataset: https://paperswithcode.com/dataset/humaneval-x

@ArtificialIntelligencedl

Complementary Random Masking for RGB-Thermal Semantic Segmentation

🖥 Github: https://github.com/UkcheolShin/CRM_RGBTSeg

⏩ Paper: https://arxiv.org/pdf/2303.17386v1.pdf

@ArtificialIntelligencedl

OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Prediction

🖥 Github: https://github.com/zhangyp15/occformer

⏩ Paper: https://arxiv.org/abs/2304.05316

💨 Dataset: https://paperswithcode.com/dataset/semantickitti

@ArtificialIntelligencedl1

Awesome-Anything

A curated list of general AI methods for Anything: AnyObject, AnyGeneration, AnyModel, AnyTask.

🖥 Github: https://github.com/VainF/Awesome-Anything

⏩ Paper list: https://github.com/VainF/Awesome-Anything#paper-list-for-anything-ai

@ArtificialIntelligencedl1

Towards Robust Bird's Eye View Perception under Common Corruption and Domain Shift

🖥 Github: https://github.com/Daniel-xsy/RoboBEV

⏩ Paper: https://arxiv.org/abs/2304.06719v1

💨 Dataset: https://paperswithcode.com/dataset/nuscenes-c

@ArtificialIntelligencedl

Remote Sensing Change Detection With Transformers Trained from Scratch

🖥 Github: https://github.com/mustansarfiaz/scratchformer

⏩ Paper: https://arxiv.org/pdf/2304.06710v1.pdf

💨 Dataset: https://paperswithcode.com/dataset/dsifn-cd

@ArtificialIntelligencedl

DDT: Dual-branch Deformable Transformer for Image Denoising

🖥 Github: https://github.com/merenguelkl/ddt

⏩ Paper: https://arxiv.org/pdf/2304.06346v1.pdf

💨 Dataset: https://paperswithcode.com/dataset/urban100

@ArtificialIntelligencedl

STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training

🖥 Github: https://github.com/ziyan-huang/stu-net

⏩ Paper: https://arxiv.org/pdf/2304.06716v1.pdf

💨 Dataset: https://paperswithcode.com/dataset/abdomenct-1k

@ArtificialIntelligencedl

Robust Multiview Multimodal Driver Monitoring System Using Masked Multi-Head Self-Attention

🖥 Github: https://github.com/yiming-m/mhsa

⏩ Paper: https://arxiv.org/pdf/2304.06370v1.pdf

💨 Dataset: https://paperswithcode.com/dataset/dad

@ArtificialIntelligencedl

Zoom-VQA: Patches, Frames and Clips Integration for Video Quality Assessment

🖥 Github: https://github.com/k-zha14/zoom-vqa

⏩ Paper: https://arxiv.org/pdf/2304.06440v1.pdf

💨 Dataset: https://paperswithcode.com/dataset/imagenet

@ArtificialIntelligencedl

Noisy Correspondence Learning with Meta Similarity Correction

🖥 Github: https://github.com/hhc1997/mscn

⏩ Paper: https://arxiv.org/pdf/2304.06275v1.pdf

💨 Dataset: https://paperswithcode.com/dataset/coco

@ArtificialIntelligencedl

Transfer Knowledge from Head to Tail: Uncertainty Calibration under Long-tailed Distribution

🖥 Github: https://github.com/jiahaochen1/calibration

⏩ Paper: https://arxiv.org/pdf/2304.06537v1.pdf

💨 Dataset: https://paperswithcode.com/dataset/cifar-10

@ArtificialIntelligencedl

Middle Spectrum Grouped Convolution (MSGC)

🖥 Github: https://github.com/hellozhuo/msgc

⏩ Paper: https://arxiv.org/pdf/2304.06305v1.pdf

💨 Dataset: https://paperswithcode.com/dataset/imagenet

@ArtificialIntelligencedl

Improving Segmentation of Objects with Varying Sizes in Biomedical Images using Instance-wise and Center-of-Instance Segmentation Loss Function

🖥 Github: https://github.com/brainimageanalysis/ici-loss

⏩ Paper: https://arxiv.org/pdf/2304.06229v1.pdf

💨 Dataset: https://paperswithcode.com/dataset/atlas-v2-0

@ArtificialIntelligencedl

Implementation for CoSDA: Continual Source-Free Domain Adaptation

🖥 Github: https://github.com/fenghz/cosda

⏩ Paper: https://arxiv.org/pdf/2304.06627v1.pdf

💨 Dataset: https://paperswithcode.com/dataset/office-home

@ArtificialIntelligencedl

RadarGNN: Transformation Invariant Graph Neural Network for Radar-based Perception

🖥 Github: https://github.com/tumftm/radargnn

⏩ Paper: https://arxiv.org/pdf/2304.06547v1.pdf

💨 Dataset: https://paperswithcode.com/dataset/nuscenes

@ArtificialIntelligencedl

IDPT: Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models

🖥 Github: https://github.com/zyh16143998882/IDPT

⏩ Paper: https://arxiv.org/pdf/2304.07221v1.pdf

💨 Dataset: https://paperswithcode.com/dataset/modelnet

@ArtificialIntelligencedl