Trending Research
YOLOX: Exceeding YOLO Series in 2021
Megvii-BaseDetection/YOLOX
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In this report, we present some experienced improvements to YOLO series, forming a new high-performance detector -- YOLOX.
Ranked #40 on
Object Detection
on COCO test-dev
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data
Though many attempts have been made in blind super-resolution to restore low-resolution images with unknown and complex degradations, they are still far from addressing general real-world degraded images.
Contextual Transformer Networks for Visual Recognition
JDAI-CV/CoTNet
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Such design fully capitalizes on the contextual information among input keys to guide the learning of dynamic attention matrix and thus strengthens the capacity of visual representation.
Human Pose Regression with Residual Log-likelihood Estimation
Jeff-sjtu/res-loglikelihood-regression
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In light of this, we propose a novel regression paradigm with Residual Log-likelihood Estimation (RLE) to capture the underlying output distribution.
U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection
In this paper, we design a simple yet powerful deep network architecture, U$^2$-Net, for salient object detection (SOD).
Ranked #1 on
Salient Object Detection
on HKU-IS
Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis
codestella/putting-nerf-on-a-diet
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We present DietNeRF, a 3D neural scene representation estimated from a few images.
Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech
huawei-noah/Speech-Backbones
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Recently, denoising diffusion probabilistic models and generative score matching have shown high potential in modelling complex data distributions while stochastic calculus has provided a unified point of view on these techniques allowing for flexible inference schemes.
Highly accurate protein structure prediction with AlphaFold
deepmind/alphafold
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Nature 2021
Accurate computational approaches are needed to address this gap and to enable large-scale structural bioinformatics.
LARGE: Latent-Based Regression through GAN Semantics
For modern generative frameworks, this semantic encoding manifests as smooth, linear directions which affect image attributes in a disentangled manner.
Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation
google/brax
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We present Brax, an open source library for rigid body simulation with a focus on performance and parallelism on accelerators, written in JAX.
