(self, name, x, filter_size, in_filters, out_filters, strides)

(self, name, x, filter_size, in_filters, out_filters, strides)

(N, featmap_H, featmap_W)

(self)

(im, predicts, sent)

(masks)

(dataset, setname, T, input_H, input_W)

(self)

(self)

(setname, T, input_H, input_W)

(scores, labels)

(sentence, vocab_dict)

(modelname, iter, dataset, visualize, weights, setname, dcrf, mu)

(modelname, max_iter, snapshot, dataset, weights, setname, mu)

(self)

(self)

(self, batch_size = 1, num_steps = 20, vf_h = 40,

(self, batch_size = 1, num_steps = 20, vf_h = 40,

(self, folder_name, prefix, shuffle=True, prefetch_num=8)

(self, name, x, filter_size, in_filters, out_filters, rate)

(self, name, x, filter_size, in_filters, out_filters, rate)

(bboxes, target)

(masks, target)

(im, bboxes, crop_size, image_mean)

(im, masks, crop_size, image_mean)

(scores, labels)

()

()

()

()

(stride)

(scores, labels)

(variables, weight_decay)

(filename)

(mask_path)

(mask_path)

(filename)

(dict_file)

(scores, labels)

(sentence, vocab_dict, T)

(im, input_h, input_w)

(im, input_h, input_w)

(prefetch_queue, folder_name, prefix, num_batch, shuffle)

(json_obj, filename)

(str_list, filename)

(scores, labels, ld=1.0)

(bboxes, imsize)

(scores, labels, pos_loss_mult=1.0, neg_loss_mult=1.0)