Artificial Intelligence – Telegram
Artificial Intelligence
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Artificial Intelligence

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Efficient Quality Diversity Optimization of 3D Buildings through 2D Pre-optimization

🖥 Github: https://github.com/lettucecfd/lettuce

Paper: https://arxiv.org/abs/2303.15896v1

💨 Video: https://www.youtube.com/watch?v=7nVCuuZDCYA

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Rethinking the Approximation Error in 3D Surface Fitting for Point Cloud Normal Estimation

🖥 Github: https://github.com/hikvision-research/3dvision

Paper: https://arxiv.org/abs/2303.17167v1

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

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Zero-shot Referring Image Segmentation with Global-Local Context Features

🖥 Github: https://github.com/seonghoon-yu/zero-shot-ris

Paper: https://arxiv.org/pdf/2303.17811v1.pdf

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

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CAMEL: Communicative Agents for "Mind" Exploration of Large Scale Language Model Society

🖥 Github: https://github.com/lightaime/camel

Paper: https://arxiv.org/pdf/2303.17760v1.pdf

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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

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-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

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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

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Complementary Random Masking for RGB-Thermal Semantic Segmentation

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

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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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