计算机视觉：CSE527-2019秋季-作业

# Computer Vision CSE527 - Fall 2019 - Assignments * hw1 * Gaussian convolution * Median filter * Separable convolutions * Laplacian of Gaussian * Histogram equalization * Low and high pass filters * hw2 SIFT Features *Scene matching *Object recognition * hw3 Scene Recognition * Tiny images * Nearest neighbor classification * Bags of quantized local features * Linear classifiers learned by support vector machines * hw4 CNN * Deep convolutional network from scratch * Fine-tune a pre-trained deep network * hw5 RNN * Feature Extraction using PreTrained Models * Build LSTM Network * hw6 * 3D Pose Estimation * Kalman Filter